diff --git a/offers/travel-entity-extraction-benchmark-bilingual-20260222_165953/travel-entity-extraction-benchmark-bilingual-9001-20260222165927_enriched.csv b/offers/travel-entity-extraction-benchmark-bilingual-20260222_165953/travel-entity-extraction-benchmark-bilingual-9001-20260222165927_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d409b69b94e2eaf840b5dc620831ead8d5e2f9a4
--- /dev/null
+++ b/offers/travel-entity-extraction-benchmark-bilingual-20260222_165953/travel-entity-extraction-benchmark-bilingual-9001-20260222165927_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
+1,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1-788140.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2-413870.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3-549954.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4-865981.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5-758148.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6-256534.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7-514960.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8-650499.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9-362387.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+10,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 10-357178.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+11,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 11-515802.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+12,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 12-642026.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+13,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 13-557094.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+14,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 14-825597.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+15,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 15-257049.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+16,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 16-169385.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+17,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 17-706898.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+18,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 18-430628.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+19,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 19-964599.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+20,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 20-483794.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+21,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 21-712962.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+22,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 22-860098.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+23,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 23-202976.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+24,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 24-643713.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+25,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 25-768538.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+26,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 26-934851.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+27,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 27-365993.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+28,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 28-633572.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+29,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 29-824115.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+30,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 30-595226.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+31,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 31-999004.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+32,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 32-305097.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+33,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 33-527467.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+34,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 34-799708.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+35,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 35-237699.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+36,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 36-643712.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+37,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 37-108652.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+38,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 38-347475.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+39,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 39-962744.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+40,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 40-292809.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+41,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 41-470794.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+42,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 42-785918.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+43,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 43-971689.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+44,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 44-752809.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+45,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 45-407019.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+46,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 46-646392.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+47,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 47-572334.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+48,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 48-329459.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+49,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 49-893561.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+50,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 50-958263.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+51,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 51-488174.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+52,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 52-694244.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+53,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 53-444112.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+54,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 54-552111.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+55,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 55-419233.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+56,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 56-350901.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+57,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 57-205383.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+58,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 58-668985.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+59,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 59-850346.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+60,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 60-979042.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+61,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 61-359438.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+62,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 62-203264.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+63,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 63-575225.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+64,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 64-629859.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+65,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 65-554005.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+66,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 66-724391.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+67,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 67-885865.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+68,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 68-382263.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+69,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 69-744778.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+70,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 70-566096.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+71,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 71-961318.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+72,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 72-122235.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+73,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 73-475595.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+74,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 74-126311.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+75,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 75-576776.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+76,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 76-990078.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+77,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 77-773723.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+78,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 78-133695.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+79,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 79-281736.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+80,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 80-772535.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+81,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 81-947828.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+82,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 82-819633.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+83,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 83-293983.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+84,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 84-602124.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+85,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 85-524067.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+86,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 86-855910.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+87,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 87-263891.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+88,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 88-137632.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+89,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 89-202104.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+90,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 90-982613.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+91,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 91-562977.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+92,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 92-466052.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+93,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 93-155229.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+94,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 94-347474.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+95,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 95-110718.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+96,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 96-379606.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+97,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 97-984684.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+98,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 98-858698.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+99,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 99-120464.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 100-874157.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 101-490696.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 102-450482.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 103-212381.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 104-802417.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 105-998050.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 106-646081.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 107-165481.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 108-727130.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 109-948911.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 110-325069.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 111-713794.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 112-453289.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 113-486265.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 114-532667.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 115-962308.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 116-760143.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 117-421228.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 118-437442.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 119-554019.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 120-192829.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 121-585130.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 122-977206.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 123-481973.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 124-649656.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 125-519626.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 126-162935.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 127-811120.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 128-670359.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 129-658532.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 130-995108.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 131-191389.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 132-805476.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 133-721276.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 134-611353.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 135-702396.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 136-990386.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 137-817545.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 138-937142.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 139-945723.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 140-938136.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 141-611432.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 142-704046.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 143-691183.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 144-709574.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 145-688128.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 146-503051.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 147-828653.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 148-957495.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 149-314238.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 150-441652.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 151-846835.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 152-566821.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 153-249600.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 154-649894.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 155-261523.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 156-573701.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 157-151487.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 158-768036.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 159-497785.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 160-710826.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 161-933531.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 162-700787.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 163-902094.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 164-264380.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 165-554146.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 166-449746.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 167-854598.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 168-417422.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 169-162393.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 170-284400.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 171-136892.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 172-679632.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 173-870867.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 174-448183.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 175-439878.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 176-754860.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 177-973968.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 178-319717.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 179-849692.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 180-107357.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 181-607381.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 182-734560.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 183-185184.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 184-903842.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 185-862283.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 186-613710.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 187-610682.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 188-802797.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 189-837332.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 190-293731.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 191-408890.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 192-480348.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 193-767313.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 194-937865.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 195-958687.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 196-121424.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 197-731138.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 198-280305.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 199-649055.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 200-329768.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 201-836823.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 202-788385.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 203-846180.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 204-256389.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 205-425946.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 206-220426.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 207-159789.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 208-950746.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 209-249419.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 210-982013.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 211-186006.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 212-105283.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 213-438128.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 214-384798.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 215-240895.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 216-630598.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 217-994071.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 218-348905.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 219-749350.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 220-350540.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 221-691302.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 222-563797.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 223-270007.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 224-451193.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 225-330721.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 226-135915.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 227-253646.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 228-676794.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 229-123470.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 230-630733.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 231-664745.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 232-190276.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 233-424626.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 234-667328.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 235-692961.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 236-310419.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 237-715002.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 238-579487.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 239-355579.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 240-205118.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 241-792679.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 242-337457.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 243-239517.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 244-470158.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 245-294459.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 246-687583.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 247-885365.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 248-548534.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 249-953353.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 250-217369.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 251-406110.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 252-980773.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 253-396413.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 254-497826.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 255-954752.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 256-191689.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 257-792909.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 258-857746.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 259-340322.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 260-848660.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 261-644793.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 262-926487.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 263-156393.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 264-772373.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 265-787629.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 266-127275.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 267-324263.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 268-929364.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 269-202232.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 270-451197.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 271-133148.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 272-349684.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 273-659286.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 274-933696.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 275-847786.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 276-628915.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 277-297683.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 278-260504.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 279-228061.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 280-351387.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 281-303891.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 282-433114.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 283-105681.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 284-498357.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 285-436903.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 286-469199.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 287-976071.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 288-864279.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 289-689807.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 290-947153.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 291-416358.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 292-218581.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 293-157806.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 294-257874.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 295-167742.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 296-694333.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 297-448408.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 298-152747.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 299-275962.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 300-522598.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 301-143868.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 302-483144.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 303-556307.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 304-424504.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 305-262417.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 306-461882.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 307-685938.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 308-556371.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 309-122055.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 310-660751.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 311-553344.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 312-583348.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 313-165275.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 314-665127.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 315-753812.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 316-465859.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 317-229298.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 318-391433.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 319-361777.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 320-211517.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 321-706916.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 322-905751.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 323-683881.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 324-792689.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 325-787306.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 326-697912.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 327-400592.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 328-206573.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 329-866960.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 330-380657.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 331-705131.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 332-333332.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 333-615519.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 334-807562.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 335-771829.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 336-424716.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 337-565162.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 338-523879.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 339-575241.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 340-509167.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 341-200348.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 342-369248.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 343-136271.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 344-481334.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 345-265382.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 346-672270.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 347-873089.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 348-291318.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 349-482895.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 350-203200.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 351-442810.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 352-925227.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 353-123468.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 354-722992.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 355-668091.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 356-200487.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 357-542727.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 358-939558.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 359-318434.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 360-664103.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 361-779151.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 362-914339.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 363-845870.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 364-823549.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 365-183404.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 366-494815.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 367-264110.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 368-354163.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 369-287017.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 370-766579.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 371-274581.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 372-734048.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 373-495326.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 374-443314.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 375-221942.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 376-564067.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 377-346394.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 378-890164.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 379-180057.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 380-369597.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 381-435963.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 382-656139.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 383-280768.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 384-155722.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 385-413380.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 386-698109.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 387-160029.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 388-774734.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 389-713972.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 390-210552.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 391-935607.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 392-704501.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 393-451266.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 394-567729.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 395-938130.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 396-782753.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 397-899992.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 398-799036.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 399-448862.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 400-648100.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 401-731812.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 402-553534.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 403-936047.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 404-589909.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 405-126235.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 406-913490.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 407-545300.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 408-157699.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 409-868371.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 410-729635.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 411-890034.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 412-734158.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 413-363151.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 414-899118.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 415-470557.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 416-223907.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 417-667880.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 418-816182.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 419-852602.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 420-494987.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 421-102808.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 422-500627.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 423-774949.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 424-824903.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 425-960697.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 426-680319.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 427-947129.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 428-211524.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 429-269613.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 430-995791.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 431-706675.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 432-214896.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 433-882163.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 434-903467.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 435-463560.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 436-543932.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 437-169385.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 438-859828.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 439-457885.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 440-667042.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 441-436242.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 442-824814.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 443-920884.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 444-420382.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 445-517346.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 446-958239.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 447-635104.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 448-614005.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 449-802495.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 450-516899.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 451-528027.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 452-829440.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 453-740681.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 454-369320.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 455-672516.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 456-297547.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 457-576141.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 458-837371.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 459-487276.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 460-479164.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 461-753479.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 462-238218.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 463-544303.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 464-415612.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 465-910219.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 466-220313.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 467-531662.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 468-663703.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 469-713126.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 470-542912.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 471-757422.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 472-191177.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 473-462930.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 474-861551.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 475-472238.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 476-321260.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 477-404653.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 478-984306.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 479-116920.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 480-929093.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 481-637691.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 482-412382.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 483-576455.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 484-803233.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 485-281723.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 486-987956.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 487-946285.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 488-278119.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 489-333846.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 490-516133.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 491-414845.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 492-433295.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 493-229129.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 494-917435.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 495-221343.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 496-266717.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 497-697277.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 498-440679.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 499-372194.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 500-884745.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 501-256722.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 502-365643.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 503-841598.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 504-516209.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 505-910011.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 506-663766.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 507-402023.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 508-635580.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 509-223424.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 510-265521.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 511-216034.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 512-936672.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 513-233657.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 514-208201.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 515-494223.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 516-219941.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 517-989542.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 518-242820.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 519-669900.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 520-428772.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 521-982362.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 522-150182.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 523-985954.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 524-797435.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 525-730940.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 526-651296.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 527-196583.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 528-948422.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 529-326681.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 530-516134.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 531-548790.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 532-765204.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 533-455939.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 534-178587.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 535-808356.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 536-943729.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 537-659968.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 538-266744.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 539-383373.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 540-988473.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 541-770456.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 542-940355.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 543-680635.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 544-296910.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 545-159915.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 546-274474.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 547-279831.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 548-180178.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 549-383986.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 550-803400.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 551-268799.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 552-798440.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 553-613434.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 554-318370.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 555-681600.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 556-537664.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 557-948612.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 558-313115.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 559-586819.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 560-796449.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 561-707693.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 562-167585.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 563-515889.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 564-214469.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 565-155312.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 566-899913.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 567-875818.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 568-111572.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 569-432324.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 570-406834.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 571-196850.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 572-237516.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 573-818367.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 574-851222.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 575-747394.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 576-181843.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 577-951628.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 578-965611.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 579-218669.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 580-320590.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 581-816199.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 582-108781.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 583-999930.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 584-207643.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 585-455199.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 586-157158.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 587-494757.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 588-821237.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 589-529983.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 590-237555.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 591-248425.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 592-128267.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 593-392950.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 594-382481.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 595-353983.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 596-240402.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 597-353555.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 598-988411.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 599-782601.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 600-632684.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 601-959838.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 602-160560.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 603-678228.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 604-747334.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 605-651902.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 606-919769.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 607-493410.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 608-931927.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 609-889102.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 610-226277.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 611-294061.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 612-765141.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 613-991883.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 614-713161.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 615-782742.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 616-860814.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 617-574083.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 618-887130.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 619-899733.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 620-204029.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 621-263098.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 622-177105.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 623-845512.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 624-877397.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 625-833889.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 626-307672.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 627-432786.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 628-288815.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 629-254648.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 630-767100.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 631-556556.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 632-111194.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 633-283309.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 634-345441.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 635-850753.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 636-787986.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 637-748489.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 638-788308.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 639-491361.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 640-804735.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 641-129552.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 642-348561.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 643-228521.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 644-270316.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 645-154598.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 646-474804.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 647-183261.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 648-451326.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 649-367008.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 650-672727.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 651-396901.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 652-608735.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 653-980523.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 654-812484.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 655-483491.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 656-180237.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 657-924565.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 658-450586.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 659-124128.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 660-332337.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 661-106201.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 662-291627.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 663-103348.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 664-634840.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 665-962884.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 666-275995.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 667-755745.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 668-279895.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 669-115337.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 670-503179.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 671-930042.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 672-408598.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 673-344050.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 674-383952.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 675-428348.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 676-368906.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 677-652078.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 678-120491.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 679-532838.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 680-951736.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 681-893298.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 682-535927.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 683-753099.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 684-331033.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 685-260266.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 686-925048.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 687-725876.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 688-889154.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 689-417433.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 690-673317.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 691-582516.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 692-282996.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 693-997058.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 694-810026.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 695-699029.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 696-707135.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 697-931971.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 698-988714.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 699-832114.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 700-952282.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 701-923382.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 702-827901.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 703-327695.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 704-533457.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 705-769898.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 706-308562.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 707-285899.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 708-525932.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 709-885460.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 710-456865.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 711-280352.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 712-143693.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 713-740102.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 714-467826.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 715-344400.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 716-528009.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 717-364798.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 718-708920.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 719-375217.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 720-191169.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 721-255072.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 722-486207.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 723-133320.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 724-896911.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 725-780418.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 726-939635.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 727-314081.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 728-650340.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 729-954872.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 730-661431.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 731-617161.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 732-453694.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 733-432763.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 734-913495.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 735-849718.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 736-600526.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 737-746256.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 738-643129.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 739-620300.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 740-762321.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 741-961394.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 742-909350.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 743-667443.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 744-278535.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 745-453674.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 746-742620.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 747-390033.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 748-739277.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 749-678068.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 750-586117.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 751-867473.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 752-246846.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 753-629884.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 754-858123.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 755-774228.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 756-708061.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 757-643204.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 758-639414.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 759-368147.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 760-858856.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 761-881164.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 762-180563.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 763-356298.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 764-788913.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 765-158567.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 766-772049.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 767-247339.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 768-986100.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 769-615547.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 770-184775.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 771-985456.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 772-776957.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 773-955161.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 774-929689.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 775-888685.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 776-330096.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 777-553975.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 778-880643.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 779-325358.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 780-296175.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 781-450244.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 782-941079.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 783-122224.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 784-557243.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 785-434842.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 786-848715.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 787-484451.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 788-224427.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 789-347612.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 790-215210.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 791-167075.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 792-802950.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 793-413873.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 794-476704.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 795-271099.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 796-958485.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 797-583704.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 798-299553.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 799-133222.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 800-111231.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 801-305535.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 802-298758.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 803-124995.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 804-706334.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 805-371378.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 806-652320.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 807-672270.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 808-687756.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 809-635889.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 810-353302.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 811-886926.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 812-300694.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 813-211946.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 814-773775.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 815-421801.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 816-774311.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 817-436902.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 818-269442.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 819-266893.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 820-232765.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 821-496008.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 822-817065.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 823-519353.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 824-803794.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 825-862101.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 826-258218.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 827-460738.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 828-601705.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 829-912925.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 830-204461.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 831-850454.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 832-971625.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 833-930656.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 834-971046.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 835-993721.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 836-566685.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 837-484310.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 838-567170.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 839-811993.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 840-770373.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 841-772106.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 842-987039.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 843-893546.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 844-141250.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 845-473319.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 846-387826.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 847-430778.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 848-196452.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 849-373203.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 850-184554.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 851-673765.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 852-228619.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 853-584540.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 854-627731.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 855-786953.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 856-161099.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 857-668118.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 858-736114.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 859-500189.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 860-581297.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 861-605913.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 862-482248.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 863-509707.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 864-397348.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 865-870819.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 866-546156.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 867-206664.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 868-210313.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 869-856889.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 870-880906.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 871-800920.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 872-692614.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 873-361681.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 874-468377.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 875-796199.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 876-231468.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 877-291172.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 878-176634.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 879-476044.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 880-905678.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 881-934583.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 882-412835.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 883-276937.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 884-778798.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 885-779883.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 886-385650.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 887-649222.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 888-868857.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 889-692242.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 890-324368.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 891-324347.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 892-964515.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 893-329383.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 894-340466.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 895-170515.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 896-497845.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 897-302278.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 898-681203.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 899-212971.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 900-263964.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 901-839292.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 902-481293.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 903-403922.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 904-458157.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 905-941328.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 906-152005.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 907-333349.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 908-104164.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 909-781191.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 910-311700.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 911-262372.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 912-879922.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 913-366540.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 914-336049.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 915-333190.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 916-930378.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 917-610077.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 918-412165.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 919-576340.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 920-351946.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 921-689999.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 922-984007.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 923-279471.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 924-461053.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 925-979339.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 926-926628.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 927-904573.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 928-198851.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 929-490728.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 930-480586.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 931-715341.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 932-420639.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 933-751565.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 934-666782.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 935-601974.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 936-220722.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 937-462984.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 938-849115.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 939-551483.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 940-436287.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 941-907837.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 942-330769.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 943-317929.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 944-195763.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 945-220429.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 946-960100.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 947-632526.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 948-550760.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 949-429585.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 950-690267.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 951-196964.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 952-951917.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 953-921064.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 954-346325.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 955-476695.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 956-102993.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 957-448739.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 958-302644.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 959-285137.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 960-191106.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 961-855525.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 962-810610.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 963-188224.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 964-558044.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 965-713944.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 966-862520.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 967-424696.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 968-911558.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 969-226659.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 970-885010.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 971-328249.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 972-382854.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 973-734612.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 974-590654.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 975-701390.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 976-531039.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 977-912178.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 978-441662.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 979-230000.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 980-230413.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 981-568371.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 982-389866.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 983-474759.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 984-853021.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 985-331578.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 986-137436.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 987-217952.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 988-482166.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 989-244759.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 990-739317.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 991-945520.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 992-335654.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 993-498338.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 994-771677.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 995-886877.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 996-464732.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 997-428833.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 998-759631.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 999-621819.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1000-105297.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-149106.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-673721.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-769494.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1004-908888.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-413825.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-438673.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-285920.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-597148.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-867461.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-872726.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-566484.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-718370.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1013-554186.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1014-322173.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-972299.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-202065.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1017-206462.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1018-735231.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1019-559879.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-462092.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-101407.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1022-234359.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-317230.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-265121.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1025-738235.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-788782.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-967644.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-768909.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-425901.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-571118.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1031-667978.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-130278.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-183603.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-594918.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1035-232230.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-871242.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-696370.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1038-904028.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-750398.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-939584.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-409756.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-594550.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-655252.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-551463.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-604086.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1046-693690.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-994696.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-918665.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1049-962847.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1050-337941.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-291375.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-120004.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-147039.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-574267.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-856262.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1056-990649.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1057-407965.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1058-925159.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1059-313233.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-593273.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-673581.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1062-280325.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-834186.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1064-971421.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-953358.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-653243.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-433056.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1068-858052.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-786539.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-448291.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1071-175083.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-296400.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-625751.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-137900.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-942087.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-677790.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-402297.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1078-389683.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1079-869492.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1080-942574.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1081-222210.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-611230.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1083-572924.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1084-865193.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1085-120058.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1086-221531.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1087-527396.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-101156.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-380980.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-589144.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1091-411646.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1092-748337.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1093-294881.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-391080.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-439032.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-755331.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-856009.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1098-442938.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-846630.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-627118.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1101-961430.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1102-703174.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1103-406588.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-420092.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-267650.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-365638.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-115422.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-396084.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-159895.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1110-861147.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-738153.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-715595.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-374058.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1114-987065.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1115-957567.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-489089.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-984917.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-816791.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1119-640371.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-514235.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1121-153253.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1122-545097.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-456421.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-565409.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-563276.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-623738.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-182738.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-155119.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-502304.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1130-530654.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-924400.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-350240.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1133-737643.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-838997.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-388768.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-418931.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1137-161288.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-607757.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-115583.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-938233.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-857258.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-393339.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-664789.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-742814.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-461743.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-752649.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-990009.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-528290.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-349732.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-994408.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-542382.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-737286.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-424767.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-285997.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-418683.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1156-951403.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-215311.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-579104.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1159-719254.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-306977.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-697985.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-449550.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-122560.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-632059.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-840957.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-986469.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-521709.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-747720.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-130981.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1170-125601.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-986287.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-211119.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-880882.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1174-379282.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1175-648074.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-390861.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1177-717325.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-525806.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1179-819808.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1180-425755.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-375911.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-688460.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-642636.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1184-235998.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1185-424893.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1186-791170.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1187-431678.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-229943.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-747695.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-392717.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1191-554169.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-534280.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-244510.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-519202.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1195-818983.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-522944.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-145258.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-671290.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-273440.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-904127.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1201-738819.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1202-821834.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1203-167675.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-593458.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1205-106639.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-510681.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-920524.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1208-384637.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-490086.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-937130.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-828619.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-876646.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1213-192656.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-559903.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1215-922493.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1216-308676.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-839174.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-582963.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-170131.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1220-141940.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-615205.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-886487.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-790940.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-898861.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-450657.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-108908.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-437603.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-827680.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-741281.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1230-240913.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-281412.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-611791.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-593427.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-322386.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-462185.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-552366.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-242253.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-796467.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-230354.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1240-232503.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-681892.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-880772.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-249980.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-283712.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-868120.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-122813.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1247-826028.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-755863.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-670773.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-629061.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-349925.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-893085.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-526507.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-372912.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-103668.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-300850.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-649627.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-613665.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-657581.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-766268.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-903425.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1262-977206.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1263-389138.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1264-270136.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-161530.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-103563.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-185846.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-261272.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-526207.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1270-325330.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-299553.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1272-845763.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1273-185302.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1274-920846.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-282831.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-709414.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-113003.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-275852.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-154524.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-313272.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-321746.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-263705.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-845141.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1284-191611.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-958250.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-850654.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1287-919623.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-535398.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1289-643059.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-314886.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-685561.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1292-483126.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-277501.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1294-161424.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-376302.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-769220.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-581061.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-648880.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-149602.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-116618.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1301-222695.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1302-111504.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-782288.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1304-808867.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1305-990290.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-895221.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1307-301621.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-911423.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-987889.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-266742.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1311-638224.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-815351.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-609859.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-995778.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-168919.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1316-990029.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1317-264175.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-496728.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-889446.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1320-323030.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-982202.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-356695.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-591617.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-611309.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-821959.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-913194.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-569625.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-997004.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-642147.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1330-307251.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-758077.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-723121.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-647119.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1334-787304.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1335-209904.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-929134.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-948797.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-362887.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1339-987032.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1340-158930.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-863448.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-478777.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1343-336346.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-448444.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1345-922013.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-407103.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-865583.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-707428.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1349-596644.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-653948.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-393793.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-833076.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1353-751634.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-821428.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-831593.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1356-606309.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1357-230858.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1358-186470.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-229219.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1360-209716.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-401692.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-878407.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-980592.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-216497.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1365-917649.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-470887.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-493101.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-481006.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-289746.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-115365.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-612101.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1372-883361.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-130561.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-897991.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-334188.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-444172.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-616642.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-998282.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-248749.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-856553.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1381-158579.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-706127.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-897459.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1384-785646.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-279677.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-242390.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-437908.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1388-982988.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-695018.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1390-382867.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-829083.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-599033.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1393-960635.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-483532.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1395-826491.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-681292.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1397-624394.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-140066.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-561415.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-869340.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-352300.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-931922.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-917368.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-538447.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1405-719471.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-729765.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-582317.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-683677.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-367177.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-556950.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1411-211948.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-190900.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1413-668247.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-503026.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-783769.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-845050.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1417-207403.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-949882.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-316005.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-118812.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1421-665769.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1422-609883.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1423-354151.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-536557.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-112680.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-871327.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-466917.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-194279.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-975597.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-183589.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-159436.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-907865.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-507760.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-102619.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-654812.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-724638.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-392265.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-959776.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-842537.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-483800.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-111187.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-646619.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-992069.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-909062.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-257058.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-857305.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-419339.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-333557.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-336650.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-781112.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-968838.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-346474.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-269600.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-571979.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1455-274854.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-445912.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-236911.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-750604.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-860289.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-367433.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1461-504858.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-671046.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1463-162533.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-398300.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-107264.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1466-765760.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1467-239726.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1468-457461.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-222537.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1470-862643.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-130379.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-969241.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1473-750580.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-948897.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-176256.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-447815.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-438723.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-726364.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-757992.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-123085.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-104265.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-311590.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-776986.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-673118.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-540678.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-477182.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-334148.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1488-613142.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-442253.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-866823.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-326427.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-356068.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-675972.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-355931.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-442306.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-306870.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-110072.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1498-953762.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1499-221275.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-940229.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-473977.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1502-441790.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1503-824105.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-204140.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1505-913100.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-138500.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1507-767408.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-472190.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-420564.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1510-156490.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1511-657495.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-779043.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1513-472504.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-221527.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-917981.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1516-737208.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-475840.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-107628.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-193815.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-864397.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1521-980774.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-994326.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-129751.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-965079.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-625377.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-614175.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-146091.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-292729.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-226062.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-373006.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-571214.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-923832.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-157476.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-292939.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1535-548365.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-107241.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-825842.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-456268.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-230966.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-783723.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-445760.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-579450.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-540393.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-666601.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1545-669127.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1546-524851.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1547-828191.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-873908.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-443592.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1550-299449.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-700878.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-958092.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1553-794174.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-168360.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-482373.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1556-227519.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-212660.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-262377.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-913788.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-421306.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-524085.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-446039.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1563-193805.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1564-265010.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-526044.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-894562.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-735913.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-707887.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-146873.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-694054.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-678952.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-921953.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-811708.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-417987.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-679635.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-457401.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-916296.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1578-757616.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-767319.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-116886.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-316073.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-704868.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-385517.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-950934.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-975008.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1586-559175.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-666768.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-333972.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-523704.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1590-925285.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-974563.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-150214.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-504632.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1594-743343.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1595-623068.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-872562.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-389747.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-930304.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1599-804104.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-729032.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-530350.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-603017.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-474458.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-143991.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-709512.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-675202.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-807027.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-454063.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-459654.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-521436.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-690524.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-780971.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-260746.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-622888.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-595051.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-682900.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1617-921007.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-570176.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-159510.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-279808.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-299877.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-695646.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-847465.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-384841.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-822477.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-673516.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1627-197627.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1628-554445.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-946491.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-149708.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-197500.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-561645.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-725566.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1634-529510.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-689716.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1636-727392.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-683245.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-647205.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-247577.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-743031.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-824910.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-276177.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1643-651528.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-233092.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-817789.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-777505.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-358551.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1648-953243.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-177405.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-862602.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1651-766180.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-499983.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-355935.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-956521.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-830338.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-577982.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-884589.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-331902.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1659-783411.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-688893.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-894259.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-999531.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-468225.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-603912.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-588364.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-634578.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1667-906723.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-319567.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-882942.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1670-208508.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-115749.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1672-400884.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1673-355251.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1674-954411.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1675-546439.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-673274.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-288251.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1678-542361.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-475134.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-676589.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-239622.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1682-669232.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-943097.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-537051.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-441117.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-726169.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-150817.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-204769.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-815862.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-983107.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1691-164888.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-700100.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1693-311769.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-690228.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-881205.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1696-249127.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-636826.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-942507.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1699-614680.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-173159.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-541112.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-919180.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-390488.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1704-151461.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-660142.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-377019.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-461847.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-186031.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1709-295565.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-735726.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-615648.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-517206.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-630900.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-207742.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-339865.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-582417.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1717-425876.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1718-595854.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1719-850996.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-835585.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-865473.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-486620.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-203836.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-907445.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-288195.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-513530.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-761310.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-867562.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-386419.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1730-959961.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-808006.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-547157.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-528227.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-367248.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-763594.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-216911.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-496554.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-271345.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-616166.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-882558.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-648832.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-818389.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-881511.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-812678.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-913556.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1746-756847.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1747-238383.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-593090.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-145991.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-862878.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-555607.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-899685.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1753-969118.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-371004.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-677620.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-680978.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-494218.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-253336.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1759-225690.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1760-151463.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-597169.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-169110.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1763-488672.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1764-990269.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-360676.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-699166.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-267859.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1768-368474.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-957804.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-529132.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-644253.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-332141.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-829464.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-810774.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-889305.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-470603.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1777-409957.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-756861.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-219992.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-426066.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-738461.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1782-318417.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-839918.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-147069.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-126479.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-384342.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-577111.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-641876.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-247088.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-293540.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-779869.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1792-747726.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-762397.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1794-440998.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1795-550994.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-941108.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-321429.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1798-389315.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-828510.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1800-721045.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-660295.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-134415.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-181788.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-805320.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1805-333611.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-411314.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1807-718981.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1808-857306.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-588538.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-941815.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-707942.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-637426.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-335557.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1814-890943.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1815-184779.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-353918.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-139459.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-978949.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1819-451057.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-538731.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1821-137575.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-598653.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-162126.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-334644.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-945105.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-774798.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-176977.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1828-453265.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-866089.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-157880.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1831-121581.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-888116.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-123465.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-859285.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1835-199424.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-719322.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-175487.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-887933.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-103136.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-343100.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-175294.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1842-794896.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-152497.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-960352.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-857081.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1846-515432.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-535189.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-589103.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1849-617544.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1850-850409.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-448833.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-394346.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-274559.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-683394.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-415103.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-633761.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-472282.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-891996.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1859-676232.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-874027.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-653670.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-366095.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-102025.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-852672.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-947471.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-254937.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1867-994276.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-227596.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1869-309574.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1870-190356.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-832994.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1872-999152.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-556414.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-354617.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-789808.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-154261.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1877-256096.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1878-834286.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-442629.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1880-403813.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-872742.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1882-447713.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-459645.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-179641.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-917924.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1886-252505.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-849360.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-720316.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-407996.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-545560.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-935893.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-955885.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-283383.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-132232.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1895-606303.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-189096.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-411592.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-986218.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1899-617142.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-864209.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-725134.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-422375.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-487322.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-872067.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-705236.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-822173.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-313843.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-136721.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-563641.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-107787.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1911-637832.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-677883.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-742748.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1914-343855.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-391948.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-791892.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-542496.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1918-274440.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-324058.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1920-740398.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1921-484642.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-294139.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-640080.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-960947.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-305128.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-499691.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-818168.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1928-774880.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-475871.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-371463.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-740495.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1932-290745.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1933-930135.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-165730.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-358575.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-638479.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-381715.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1938-395333.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-322326.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1940-840371.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-775807.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-987807.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-257161.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-840414.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-316300.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-214644.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-919219.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-257075.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-811527.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-662783.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-270421.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-737400.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-819299.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-372745.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-965216.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-356630.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-118016.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-848125.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-886235.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-122105.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-164991.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-159904.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-146334.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-885290.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-601244.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-740262.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-106224.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-218281.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-707184.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-762880.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-905314.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-209719.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-367386.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-778279.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-165951.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-699136.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-966995.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-324045.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-209342.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-224848.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-383299.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-534846.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-476529.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-673270.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-860435.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-650084.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+1987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-361279.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-690327.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-936583.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-347846.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-257357.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+1992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-611207.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-358255.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-428817.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+1995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-246208.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-929838.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+1997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-370983.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-519343.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+1999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-988267.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-536974.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-344466.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-681093.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-230663.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-365623.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-810134.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-472277.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-462210.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-790769.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-217141.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-746058.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-372460.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-891132.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-516065.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-981425.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-956090.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-341648.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-510267.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-181006.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-436759.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-441589.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-145029.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-295277.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-702970.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-720162.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-492636.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-897429.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2027-329336.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-404835.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-998257.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-784889.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2031-839332.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2032-932138.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2033-650147.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-957335.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2035-739445.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-735191.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-680266.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-199194.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2039-524617.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-656325.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2041-751763.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2042-218940.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-784538.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-109975.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-236909.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-254194.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2047-914742.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2048-387989.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-912314.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-852654.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2051-666233.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-923084.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-828160.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2054-795453.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2055-938625.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2056-397083.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2057-366010.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-958848.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2059-553101.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-371353.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-957140.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2062-907234.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-654076.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2064-848067.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2065-698477.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2066-792089.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2067-518363.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-597195.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-956781.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2070-600545.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2071-589586.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-955425.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2073-257980.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-709312.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-574991.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-231132.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2077-247013.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-755780.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-912049.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-611653.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-393343.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-643244.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-905976.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2084-403642.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-734544.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2086-211535.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2087-719458.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2088-767152.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2089-398369.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2090-916481.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2091-141627.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2092-356211.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2093-584580.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2094-631595.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2095-169977.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2096-936718.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2097-921477.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-727697.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2099-245319.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2100-107316.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-367182.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2102-346188.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-184647.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-641201.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2105-261714.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-840154.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2107-961046.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-683585.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-685659.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-770210.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-929379.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-216221.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-242439.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-735161.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2115-411534.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2116-958682.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-575298.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-892244.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-223060.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-873980.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-806021.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-455053.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2123-791517.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2124-555027.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2125-409684.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-364099.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-481645.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-382648.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-308593.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-890494.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-223945.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-132584.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2133-645797.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-350147.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-133713.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-980771.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2137-810589.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2138-356260.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-214952.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-793101.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-166493.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-417014.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-995324.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-145242.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2145-923078.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-205967.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2147-877379.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-461075.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-723816.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2150-869582.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2151-611770.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-929641.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-425983.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2154-262365.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2155-644046.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2156-715928.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-313700.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-849437.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2159-625054.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-940569.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-885116.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-417890.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-775609.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-588397.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2165-997473.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-235455.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-567490.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2168-613962.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-474835.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-771355.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-708179.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-700575.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-996627.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-927285.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-663388.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-573072.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-509379.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-682407.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2179-838653.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-535276.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-304666.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-307691.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-715144.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-130373.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-232367.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-316973.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-407853.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2188-317758.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-200355.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-218317.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-950307.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-924578.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-939160.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2194-374924.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-298887.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-740522.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-954417.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2198-405456.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-191112.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2200-207134.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-334878.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-248362.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2203-852909.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-755062.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2205-775636.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2206-986059.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-569539.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-532894.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-838155.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-250652.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-557923.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2212-323729.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2213-118118.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2214-279952.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-103598.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-933850.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-723919.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-903462.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2219-941987.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-705707.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-636087.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-981218.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-237094.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-323209.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2225-229743.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-252226.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-774296.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-373809.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-637310.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-597861.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2231-797734.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-154882.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2233-543016.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-760823.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-165629.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-575699.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-398403.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2238-517675.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-953794.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2240-239988.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-109566.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2242-579985.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2243-443290.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-503617.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-368768.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2246-369590.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-156459.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-169632.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-304875.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-323999.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-295491.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-297590.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-615131.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2254-420708.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2255-292825.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2256-771754.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-450368.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2258-153331.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-528890.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2260-795183.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-588147.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-350588.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-585642.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-349066.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2265-267973.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-348559.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2267-914587.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-976204.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-800408.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-211090.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-242305.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-669936.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-854972.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-749021.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-427787.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-670239.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-764574.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2278-619985.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2279-556594.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-275427.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-921818.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-610394.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2283-649658.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-591294.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2285-954199.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2286-898100.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-108878.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-975296.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2289-906105.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-407810.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2291-802810.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2292-164020.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-627401.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-540427.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-148657.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-998698.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-525211.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-566820.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2299-516132.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-843480.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-769425.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-922261.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2303-428896.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-527827.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-432476.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-950044.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-902643.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-871500.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-991143.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2310-909745.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2311-571630.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-424170.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-721087.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-331020.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-709872.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-322696.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-667969.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-123337.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-332871.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2320-678505.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-176098.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2322-972238.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-956682.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-455934.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-350477.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-225262.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-196471.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-615060.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-923278.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-520319.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-668701.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-642628.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-647028.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-570564.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-982014.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-685766.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2337-804153.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-468735.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-716130.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-766641.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-170145.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-461588.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-766717.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2344-552144.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-609100.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-782618.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-552952.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2348-111784.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-668440.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2350-772517.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-817066.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-623088.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-205828.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-580849.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-442967.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-178442.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-276357.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2358-620968.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2359-159129.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-646415.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2361-547119.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-985294.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-947940.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-945744.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-492452.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2366-767805.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-867414.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-504476.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-413471.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-839164.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-544164.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-392452.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2373-995395.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-969741.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-736881.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2376-361748.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-725077.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-225311.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-669988.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-679473.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-807882.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-741836.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-470590.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-204365.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-250073.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-345290.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-222504.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2388-827198.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-952662.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-182218.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-504669.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-451492.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-903126.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-222150.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-682987.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2396-827536.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-192987.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2398-763680.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-958298.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-399907.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-208361.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-158477.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-525315.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-474129.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-398465.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-820410.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-315152.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2408-873595.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-426977.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-331313.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-882615.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-582638.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-354073.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-548957.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-166920.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-288941.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-823845.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2418-164820.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-353258.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-617425.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-674658.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-260949.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-303194.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-998344.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-764487.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2426-432329.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-116052.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-320746.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2429-124060.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-347580.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-145546.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-967439.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-944260.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2434-112736.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2435-698929.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-962848.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-791268.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-689931.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-301076.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-998836.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-370345.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-563045.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-935703.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-442599.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-740148.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-533294.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-597877.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-942486.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-971654.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-606046.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-330426.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-264716.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-594369.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-603945.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2455-518308.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-937046.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-841863.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-169729.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-270215.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-844473.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-803288.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-931935.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2463-885525.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2464-216382.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-298200.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-348095.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-187515.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2468-828538.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2469-973150.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-450413.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2471-181911.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-208380.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-944032.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-455564.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-650732.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-156364.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-732417.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-797353.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-399153.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-674408.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-595884.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-402011.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-421806.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-651809.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-165466.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-877320.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2487-349904.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-845251.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2489-705531.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-626886.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-426074.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-434876.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-911604.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-654150.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-203013.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-188579.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-638348.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2498-128856.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-410834.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-146797.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2501-650597.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2502-798796.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2503-309331.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-963241.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-818583.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-965140.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-435116.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2508-585685.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2509-411669.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2510-631263.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-174419.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-228746.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-183809.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-766735.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-839606.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-780407.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-259410.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2518-504250.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-390371.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-746583.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-207589.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-923594.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-499381.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-515351.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2525-574170.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-376667.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-903247.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-524565.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-191570.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-711554.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2531-177942.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-833565.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2533-925250.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2534-375494.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2535-787650.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2536-529110.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-503560.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-497840.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-383460.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-473904.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-487093.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-462926.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-530456.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-941790.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-701331.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-804622.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-418757.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-850946.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2549-697686.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2550-878678.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-491758.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-554389.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2553-737136.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2554-891938.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-852480.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2556-467688.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-378791.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-577837.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-484152.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2560-635517.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-357297.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-502109.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-875469.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2564-952993.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-786593.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-136977.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-493634.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-951685.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-287774.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2570-943499.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-282045.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-264447.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-150315.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-931139.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-880733.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-185821.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2577-136960.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2578-391435.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-912146.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-734405.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2581-566422.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-245065.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-852124.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-727114.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-923150.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-385152.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-262978.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2588-143377.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-736588.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-993594.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2591-240057.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2592-186618.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2593-785513.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2594-306134.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-203126.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-809662.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-654492.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-857070.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-145231.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2600-841142.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-298949.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-464035.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-919031.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2604-566127.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-133192.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-733914.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2607-180271.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2608-452540.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2609-240125.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2610-586353.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-303687.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2612-750948.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-981239.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-400687.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-432239.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-168452.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2617-428709.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-739232.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-291064.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-487400.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-170517.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2622-991760.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2623-750748.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-274448.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-381631.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-549114.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2627-321511.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-580169.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-404985.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-765387.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-562001.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-238011.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-715350.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-468724.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-314909.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-714498.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2637-252784.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-962162.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2639-750886.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-842950.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-364222.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-402234.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-546956.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-803016.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-614547.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-305414.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-913694.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-734176.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-685344.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-413212.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2651-200859.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-199324.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-439634.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2654-202106.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-944481.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-946103.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2657-327501.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-890242.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-674517.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-757811.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-192952.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-967682.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-554303.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-380253.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2665-220845.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-223639.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2667-106174.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-290456.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-809753.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-426597.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-510330.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-175459.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-314212.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-488245.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-372450.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-343841.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-413234.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-660296.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-767860.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-812662.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-900576.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2682-153014.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-214034.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-588543.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-508028.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-123290.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-627567.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2688-169739.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-731825.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2690-883710.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-826043.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-451703.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-424051.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2694-889502.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-688010.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-349075.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-646873.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2698-847375.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-514789.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-952832.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-686134.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-324503.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-768320.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-892353.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-919713.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-860507.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-466898.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-694032.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-537503.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-746404.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2711-875054.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-301052.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2713-973279.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-266010.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-931295.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-290284.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2717-785456.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-539322.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-609895.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-272377.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-658564.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-137652.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2723-585190.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-417860.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-946160.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-581377.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2727-256126.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-285391.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-813893.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-971096.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2731-565841.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2732-866286.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-827023.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-474908.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-236793.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-906467.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-960205.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-550354.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-876932.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2740-355403.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-267118.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-427905.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-444172.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-734690.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-406065.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-490229.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-914922.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-855016.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2749-353736.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-507513.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-884951.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-486723.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-857465.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-282971.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-603641.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-515928.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-466889.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2758-326919.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-696981.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-171803.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-856619.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-592504.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-845452.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-728862.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2765-545621.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-765567.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-996177.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-592448.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-675735.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-700378.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2771-781086.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2772-564532.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-725610.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-567040.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-697988.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2776-137167.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-727309.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-870963.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2779-625576.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-102665.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-338669.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-892510.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-838332.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2784-547084.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-445201.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-274803.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-916407.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-860096.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-297139.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-666729.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-322595.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2792-887472.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-179637.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2794-157671.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-227108.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-378362.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2797-887706.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2798-391647.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-841938.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-684113.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-995145.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-761640.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-561248.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-187547.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-136623.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-751763.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-931227.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-784498.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-860972.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-543846.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-438543.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-338089.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2813-777513.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-119060.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-469277.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-496847.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-209687.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-614055.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-920979.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-220876.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-402472.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2822-896809.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2823-576284.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2824-967739.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-510018.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-150378.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2827-339944.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-483985.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-564196.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-605442.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2831-628223.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-152290.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-390429.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-388384.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-175152.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-637186.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-286341.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-488846.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2839-740686.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-936472.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-519840.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-730875.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-220264.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-230680.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-476884.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-565039.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-204689.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-824358.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-520764.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-716819.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-985245.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-698513.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-422998.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-848072.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2855-343584.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-313895.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2857-756830.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2858-585375.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-814652.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-343509.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-170555.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-148025.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-278634.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2864-393348.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2865-979367.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-801426.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-730950.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-418216.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-223832.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-981200.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2871-161973.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-868122.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-921764.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2874-683777.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-365096.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-246274.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2877-558790.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-116766.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2879-856863.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2880-735374.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-916303.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-212949.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2883-626673.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-232972.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-396455.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2886-909035.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-427521.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-205605.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2889-805173.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-112335.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-308147.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-395153.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-492335.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-554181.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2895-587365.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-427251.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-543783.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2898-974723.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-691986.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-869767.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-556938.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2902-459151.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-302545.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2904-241480.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-532790.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-802881.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-490557.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2908-874841.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-430627.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2910-535847.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-417579.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2912-139059.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2913-120678.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-479371.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-733090.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-893704.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-566341.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-503452.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-632053.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-554409.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-685354.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-451118.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-487878.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-434102.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-219006.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2926-325345.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2927-119391.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-750235.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-235604.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-527270.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2931-304429.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-934253.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2933-115220.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-526193.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2935-688715.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-433995.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-640082.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-227171.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-251126.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-263891.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-690420.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2942-488151.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-372682.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2944-195035.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-950536.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2946-577127.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2947-291719.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2948-544013.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-666232.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2950-510371.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-299110.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-267433.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-802393.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-492901.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-347431.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-360822.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-393482.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-328093.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2959-344473.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-440673.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-954270.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-883907.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-412974.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-250199.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-194726.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2966-837013.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-431842.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-947560.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2969-949870.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-442841.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2971-540531.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-395133.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-454247.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-885648.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-769860.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-706290.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-549181.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-459779.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-247532.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-467792.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-805049.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-842975.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2983-334165.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-104403.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-453959.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-827935.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2987-870956.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2988-329010.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2989-851152.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+2990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2990-361850.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2991-279998.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2992-745530.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2993-270914.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+2994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2994-843327.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-197352.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2996-130879.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+2997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2997-389225.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+2998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2998-829625.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+2999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2999-165593.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3000-752326.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3001-701657.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3002-307783.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-669099.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-422110.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-879329.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-416668.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-756772.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3008-217748.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3009-276672.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3010-674158.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-551089.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3012-737873.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3013-450161.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3014-687235.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-277410.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3016-560434.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3017-218446.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-748563.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-886416.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-235626.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-142884.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-694865.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3023-718468.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-261800.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-532696.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-547834.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-273162.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-852358.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-843794.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-669170.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-617122.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3032-651506.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3033-614642.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-574364.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-810313.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-436719.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3037-924309.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-151413.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-349317.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-790630.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-965330.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-114156.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-107288.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-304770.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-995642.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-368000.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-163451.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-138451.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-734763.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-733070.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-716157.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-593591.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-772902.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-587652.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3055-607853.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-685405.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3057-243694.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3058-534109.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3059-878881.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-281087.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-236227.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3062-528520.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3063-665918.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3064-127774.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3065-361855.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-887146.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3067-896533.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3068-597961.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-133128.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-650611.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-317368.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-882134.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-626654.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-388389.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-103333.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-156367.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-894100.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3078-726518.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-838066.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-463848.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-142424.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-314194.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-942833.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-287469.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-124134.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-232552.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-358758.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-136826.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-219176.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-810194.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3091-858050.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3092-492118.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-272627.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-368251.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3095-437546.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-344583.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-891004.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-239595.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-553063.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3100-943604.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3101-815869.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3102-800282.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-929800.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-608832.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-456833.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-335476.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3107-359989.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-185157.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-410713.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-319087.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-444885.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3112-320239.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-953223.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-714303.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-149883.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-848050.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-323569.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-981667.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-285485.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3120-866529.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-244707.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-616063.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-609022.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3124-569734.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-109732.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-469882.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3127-138046.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-199249.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-259263.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3130-133329.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-896857.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3132-200255.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-685226.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-718386.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-266471.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-831217.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3137-368982.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-677152.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-411352.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-913836.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-843942.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-995832.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-557544.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-533413.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-789811.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-686513.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-271303.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3148-931196.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-841853.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-515087.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-240815.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-905109.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3153-387130.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-800366.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3155-467398.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-602969.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3157-675743.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-801285.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-717516.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-605667.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-932970.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3162-581409.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-714998.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-349119.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-722695.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-594119.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3167-861881.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-773007.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-358076.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-825569.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3171-834290.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-652359.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-330320.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-479514.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3175-497125.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-598816.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-988071.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-686374.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-746743.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-646733.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-867773.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3182-233988.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-404822.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3184-545270.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-996652.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-283396.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-473589.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-697744.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-290654.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3190-398965.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3191-902566.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-702683.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-390135.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-772531.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-111097.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-846238.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-955112.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-104154.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3199-691693.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-222113.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3201-708578.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3202-456411.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-304327.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-892856.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-521435.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-296037.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-425156.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3208-988856.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-148854.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-310263.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-336867.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3212-496041.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-175558.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-244493.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3215-704261.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-665026.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-989059.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-848447.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-178497.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-739098.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-128992.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-880244.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-826669.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-594106.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-879837.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-713685.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-217507.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-315604.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-481046.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-314768.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-929566.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-302326.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-960041.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-864935.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3235-503617.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-824038.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-394006.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-923147.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-896420.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3240-295876.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-470174.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-370163.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-728075.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3244-657261.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-375956.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-490337.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3247-841868.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3248-380096.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-279772.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-135108.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-912345.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-527875.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-554299.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-784913.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-721596.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-180319.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-764803.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-366768.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-632979.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-536139.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-718096.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-789067.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-429663.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-123877.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3265-499711.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-647316.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-608996.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3268-199260.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-461316.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-587046.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-596554.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-834642.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-444085.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-684542.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-662255.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3276-105487.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-893529.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-522068.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-974385.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3280-164234.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-512974.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-412091.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3283-524225.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-932524.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-415016.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-492697.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-496804.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-286562.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-173986.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3290-532657.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-985309.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-679363.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-675278.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-158344.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-374317.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-934425.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-655157.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3298-941752.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-395487.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-923513.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3301-903198.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3302-991990.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3303-391308.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-830068.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-286889.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-320353.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-161886.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-483568.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-909490.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-805375.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3311-642203.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-422301.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-219349.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-296557.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-937604.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-317346.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-428322.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-537037.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3319-628993.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-816426.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-990632.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-556227.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-686886.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-356085.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3325-842523.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3326-485887.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-596681.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3328-315313.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-816581.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-999276.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-676565.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3332-903519.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-313009.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-845731.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3335-178184.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3336-646684.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3337-906749.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3338-758996.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3339-258893.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-613008.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3341-735093.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3342-758214.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3343-625404.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-632468.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3345-422702.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3346-489468.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3347-182102.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-959674.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-414561.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-301323.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-969225.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-666941.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-666030.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-338914.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3355-750541.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-764898.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-374571.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3358-974741.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-889644.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-354005.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3361-994701.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3362-335538.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-204995.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-288411.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-916311.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-195912.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-909499.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-559878.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-713733.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-764046.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-279888.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-531158.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-972357.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-610398.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-584224.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3376-541266.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-260770.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-488642.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-991323.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3380-671547.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-155852.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-292203.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-463444.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-296322.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-336496.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-846095.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3387-709503.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-550049.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-582822.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-744545.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3391-547978.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-771933.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3393-911369.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3394-594906.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-249429.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-791355.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-996986.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-641059.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-533773.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-413629.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3401-266291.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-814106.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-654114.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-794319.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-781575.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-713434.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-587374.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3408-550486.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3409-403484.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-651520.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-941131.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3412-273893.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-742100.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3414-176645.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3415-487820.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-860241.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-486101.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-312878.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-506754.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-315375.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-830846.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3422-338221.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-333600.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-672013.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-342448.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3426-881677.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-806633.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3428-677534.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3429-288599.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-151104.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-123278.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-203481.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3433-717775.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-615224.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3435-624235.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-310870.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-484969.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-363476.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-822386.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-516165.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-814293.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-565253.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-846657.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3444-199005.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-359642.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-755210.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-390860.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-611276.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-182742.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-312250.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3451-227319.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-519904.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-573489.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-937415.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3455-355734.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-981524.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-815650.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-255864.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-792867.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-299463.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3461-435884.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-938580.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3463-270947.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-270020.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-155096.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-459230.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-822249.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3468-411111.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-394819.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-936591.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-228776.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-304727.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3473-219666.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-318706.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-863751.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-458187.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3477-503301.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-508304.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-361565.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-504375.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-897412.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3482-406932.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-949426.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-617111.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-648450.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-627858.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-520887.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-370683.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-477645.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-251304.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3491-876882.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-493700.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-711949.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-805196.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-197722.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3496-616669.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-339177.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-462658.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3499-261865.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-516621.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-732889.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-714193.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-605232.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3504-334496.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-393148.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-998087.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3507-180462.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-443987.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-811976.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-763870.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-619508.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-889637.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3513-985198.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-444495.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-471524.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-721767.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-159082.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-464767.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-701048.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-466699.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3521-877879.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-760080.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-356201.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-607925.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3525-202880.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-340741.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-159597.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-899008.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-441234.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-727025.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-382339.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3532-430141.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-971936.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-170145.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-137943.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3536-249089.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-948363.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-706263.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-735518.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-281690.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-571483.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-194439.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-205953.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-665548.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-375790.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-742450.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3547-529416.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-924013.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3549-654513.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3550-227052.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-720722.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3552-143384.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-771284.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3554-971915.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-292667.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-635296.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3557-283212.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-733089.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3559-788138.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-684188.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3561-947673.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3562-390115.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-193908.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-736725.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-273436.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-278952.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3567-721474.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-136356.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-534026.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-367381.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3571-286078.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-562657.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-727878.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-384158.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-447478.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-772845.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3577-399121.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-923696.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3579-765323.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-808206.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-121070.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-580111.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3583-853119.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-690305.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3585-569795.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-105100.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-986716.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-795135.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-451392.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-597407.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-586180.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-478542.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-823451.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3594-894659.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3595-407890.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-497980.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-366170.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-491473.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-786634.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-500333.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-990616.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-522701.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-102625.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-151992.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-800452.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-701588.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-918023.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-554213.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3609-569487.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3610-488166.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-441825.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-320284.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-856678.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-895601.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-625776.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-813056.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3617-531254.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-993124.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3619-664133.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-673441.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3621-303911.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3622-495413.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3623-615907.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-496233.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-168448.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-158811.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-609596.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-640241.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3629-380087.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-494960.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-349017.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-521880.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-602449.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-516811.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-883136.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-223716.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-666498.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-678760.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-337366.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-716711.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-897436.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-155737.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-910234.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-555911.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-395160.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-413722.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-890708.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-558014.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-353743.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-641787.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3651-717397.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-373256.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-255803.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-962547.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-343977.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-439503.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-266314.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-634141.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-134014.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-959539.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-314604.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-791267.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-287776.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-173196.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-813502.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3666-892942.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-562135.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-990392.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-259204.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3670-474081.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-446523.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-156150.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-324317.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-532224.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3675-483568.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-647940.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3677-527629.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-465830.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3679-780053.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-503332.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-990147.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-430395.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-839657.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-300185.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-150605.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-923011.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-766604.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3688-518483.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-199589.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-635043.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-658823.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-407868.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-383161.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3694-959771.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-180700.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-277465.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-751406.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-435053.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-178566.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3700-699002.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3701-537527.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-560592.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-856515.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-834441.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-717636.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3706-925953.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-567380.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-536001.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-564338.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3710-281542.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-966378.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3712-432541.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-416150.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3714-508943.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-224444.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-241204.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-576470.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-117169.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-159086.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-156832.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-301897.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-714647.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-179944.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-926860.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-181539.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-488338.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-406245.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-607809.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-958056.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-576976.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-344020.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3732-846597.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-115043.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-329549.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-650973.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-441047.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-962559.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-281571.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3739-517527.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3740-165843.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-979901.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3742-940095.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-255035.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-337133.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-699255.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-590772.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3747-784229.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-203653.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3749-722329.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-959980.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3751-790494.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-818017.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-161019.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-859913.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-688905.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-783091.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-139445.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-831414.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-115277.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-669011.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-347910.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-588008.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-758084.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-837416.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-332959.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-256633.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-991976.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3768-677519.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3769-147219.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-855136.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-664076.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-975930.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-238157.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-502092.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-706104.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-560185.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-830447.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-281082.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-568490.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-160159.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-877054.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-921309.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-131106.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-136459.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-509374.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-645413.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-776231.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-642796.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-703873.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-343270.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-317608.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-502749.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3793-452353.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-125492.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-996457.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-968113.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3797-293622.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3798-975611.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-203935.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-477352.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-882711.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-999107.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-597032.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-295547.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-931986.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-618830.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-749143.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-163251.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-174775.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-850614.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-164319.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3812-242141.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3813-353257.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-912655.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-665867.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3816-208787.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-667653.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-910901.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-351103.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-573883.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-448166.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-961161.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-534081.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-600272.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-678855.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-275548.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-367138.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-767644.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-138956.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-280718.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-131755.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-109324.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-777238.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-649451.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-227261.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-918826.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3837-394038.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3838-529281.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-815131.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-838926.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-790462.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-610636.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-476224.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3844-251106.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-473669.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-205658.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-299165.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-234133.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3849-320217.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-543143.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-340832.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-710386.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-206912.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-406291.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3855-622626.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3856-903311.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3857-152501.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-286184.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-834948.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-510223.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-241339.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-822227.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-222503.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-339883.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3865-821060.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-665082.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3867-585041.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-770957.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-203337.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-506721.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3871-115116.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-531578.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3873-612595.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-906049.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-396164.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3876-621581.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-305842.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-203980.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-930408.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-439240.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-837466.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3882-499504.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3883-178080.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-546017.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-900696.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-323602.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3887-885292.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-703957.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-481360.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3890-268944.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3891-569124.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-469951.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-785047.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-647685.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-464329.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-562591.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-714514.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-953079.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-840493.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-461175.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-721745.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-703299.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-426578.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-495857.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-368223.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-891540.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-822418.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-248052.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-369611.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-951856.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-439757.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3912-112330.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-990374.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-592258.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-457708.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-131490.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-618443.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-350833.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-262079.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-417786.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-305557.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-484735.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-950223.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-134007.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-649837.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3926-160941.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-878726.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-826901.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-844006.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-788564.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-662470.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-883347.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-159248.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-954449.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-791807.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-276604.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-194886.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-324026.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-760609.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-769225.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-338775.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-255834.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-869426.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-517973.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-616260.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-417379.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-317680.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-993690.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-155380.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-657485.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-345540.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-936198.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-204725.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-496708.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-181621.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-674577.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-842516.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-754373.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-775951.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3960-356388.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-285798.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-292577.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-479986.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-239875.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-189094.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-989581.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-646330.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-236469.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-766231.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-245060.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-363433.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-941022.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3973-177289.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-604035.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-709421.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-562480.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-815995.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3978-177631.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-981578.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3980-442027.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3981-796423.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-766341.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-586831.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3984-199943.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-628422.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-714119.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-987858.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-212159.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+3989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-669211.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-850794.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+3991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-354344.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-339859.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3993-885692.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3994-486324.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-338891.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3996-222437.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+3997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3997-918229.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+3998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-719912.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+3999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3999-354728.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-482798.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-328089.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-856356.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-563537.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-600597.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4005-196595.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4006-955514.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-780601.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-645396.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-398987.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-265885.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4011-600015.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-506936.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4013-154698.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-404660.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4015-480790.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4016-117927.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-172490.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-414126.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-887754.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4020-818989.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-545985.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-858461.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-407905.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-450012.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-300797.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-919017.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-261724.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-106283.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4029-831543.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-295593.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-831888.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-728707.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-732511.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-935678.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-957758.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-817881.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-264044.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-969043.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-689684.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4040-431904.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-214978.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-949482.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-487284.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-506270.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4045-677687.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-567726.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4047-948407.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-938060.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-546508.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4050-653674.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4051-356564.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-978608.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-904787.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-314886.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4055-755747.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4056-643487.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-370512.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-567713.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-503361.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-132281.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-136004.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-286656.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-894305.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-544054.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-623625.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-825363.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4067-600966.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4068-964683.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-474350.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-844486.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-979126.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-859150.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-722856.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-748374.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-184777.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-915436.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4077-946777.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-770870.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-431883.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-443386.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-329427.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-583830.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-859448.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-617528.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-582395.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-618622.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-275884.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-625289.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-678174.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-932125.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-680901.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-817705.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-297967.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-208604.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-722071.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-692693.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-664927.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4098-183314.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-973936.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4100-751881.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-202537.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-597439.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4103-452636.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-606585.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-834259.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-782996.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-587190.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-419888.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4109-121093.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-752465.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-875283.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-620277.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-480451.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-130036.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4115-450241.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-580879.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-197923.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4118-848272.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4119-260149.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-830743.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4121-530089.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-384130.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4123-620772.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-288980.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-506414.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-439986.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-595676.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4128-169308.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-371388.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-607809.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-297947.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-600719.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-489220.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-685205.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4135-165534.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4136-239264.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-946664.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-566354.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-599661.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4140-194778.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-893397.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-432894.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-832587.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-204352.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-450995.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-488167.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-628609.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-202754.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4149-247010.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4150-794700.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4151-865112.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4152-885922.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-807795.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4154-558255.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-497564.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4156-492226.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-404483.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-388561.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4159-743680.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-942408.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-189997.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-900839.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-574460.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-657477.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-905978.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-957557.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-309878.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-278968.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-950839.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-220443.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4171-184584.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-847334.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-647332.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-613537.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-844092.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-205719.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-782538.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-487626.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-607366.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-958618.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-277641.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-945441.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-933048.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-391869.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-313117.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4186-742351.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-118256.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-371498.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-476927.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-393871.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-420272.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-216019.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-760517.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-786113.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-314650.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-103487.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-407822.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-412753.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-177963.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-264327.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-167514.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-291041.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-187877.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-903859.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-292443.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-680167.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4207-733205.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-720615.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-547491.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-347892.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-785331.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4212-208167.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4213-526378.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-757647.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-587714.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-515273.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4217-563677.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-780938.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-422942.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-646916.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-305577.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-446314.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-897022.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-450747.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-518106.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-741363.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-530445.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-304167.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-186583.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-834731.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4231-650888.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-545869.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-495405.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4234-258686.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-840329.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-642691.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4237-295624.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4238-415738.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4239-347685.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-630027.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-210545.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-167708.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-518031.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-940049.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-447252.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-927925.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-676051.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4248-408510.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4249-251519.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-561508.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-587050.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-538283.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4253-967536.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-953715.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-102597.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-394163.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-842368.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-773244.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4259-303609.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-153498.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4261-389899.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-966260.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-726214.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4264-678374.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-978859.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-978762.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-128501.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4268-573162.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-857215.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-950646.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-903789.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-304327.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-896441.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-164488.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4275-799506.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-576421.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-423267.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-772610.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4279-652369.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-555525.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-639233.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-195075.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-107551.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-873664.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-284418.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4286-160011.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-491506.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4288-855498.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4289-197237.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4290-462637.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4291-951569.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4292-548875.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-647887.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-616069.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-833749.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-880587.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-626521.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-302875.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4299-243809.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-533164.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-458834.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-340916.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4303-832044.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-111581.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4305-549241.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-516049.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4307-355643.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-822242.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-120397.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4310-129605.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-594435.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-634040.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-856919.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-872354.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-439930.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4316-506914.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4317-385327.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-595429.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-350258.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-494023.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-367676.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-388345.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-103084.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4324-349354.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4325-787238.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-833341.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-895820.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-618218.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-457924.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4330-160127.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-553224.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-476784.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-375140.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-278031.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-507169.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-308881.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-285240.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-131694.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-583084.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-585260.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-321012.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-219246.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-923792.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4344-502190.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-897780.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-704107.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-535870.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-396630.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-431505.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-942728.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-683478.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-854821.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-278573.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4354-757622.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-817332.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4356-957042.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-993076.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4358-497147.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-740240.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4360-366782.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-443556.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4362-134022.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-664403.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4364-217360.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-572129.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4366-342198.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-746020.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4368-308786.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-961778.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4370-548825.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-737946.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4372-319432.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4373-327232.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-671041.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-807101.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-679067.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4377-773216.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-424912.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-341809.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-333549.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-310755.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4382-729041.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-885047.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-807088.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-285252.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4386-860797.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-419320.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-514664.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-121611.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-750219.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-692700.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-866693.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-206212.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-410617.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-959042.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-309964.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-599132.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-934172.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-486083.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-284452.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-146587.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4402-192159.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-337922.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-334317.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-610560.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4406-139630.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4407-960552.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-504853.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-885411.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-386608.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-933497.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4412-893824.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-419317.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-562766.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4415-527986.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-591115.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-641301.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-398592.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-764085.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4420-746888.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-879158.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4422-431591.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-556008.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-820933.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-948756.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-532282.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-990427.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-989634.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-116494.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-593719.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4431-286171.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4432-335451.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-924172.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-448252.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-856318.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-771904.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4437-765371.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-328188.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-970002.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-329984.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-742894.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4442-195168.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4443-676163.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-329500.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4445-836928.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-927350.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-475361.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4448-727938.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-791298.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4450-980656.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4451-559885.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-654001.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-636552.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-440308.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4455-192231.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-740656.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-779848.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-682110.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-791462.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-224060.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-551555.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-962330.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-292283.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-598544.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-358119.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-996723.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-213016.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-762674.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-426139.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-671289.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4471-964903.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-289090.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-990836.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4474-960028.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4475-457435.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4476-586942.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4477-935905.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-284599.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4479-918634.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-752073.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-221166.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-588735.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-863299.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-989194.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4485-998300.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-429439.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-990720.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-419080.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-275834.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-109279.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-468151.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-944540.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4493-479356.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-117510.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-655625.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-181857.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-380845.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-414417.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4499-199098.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-545012.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-719666.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-403522.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-318118.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-300637.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-129950.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-439519.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-257512.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-375103.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-593986.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-199657.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-834605.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4512-775886.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-111853.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-802131.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-534732.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-531173.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-190223.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4518-979215.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-139983.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-394435.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4521-164888.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-334361.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-203036.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4524-394207.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-513728.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-946035.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-347590.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-103586.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-829018.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-354941.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-982160.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4532-547480.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-372905.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4534-628193.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-412430.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4536-638242.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-480895.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-152414.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-828813.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-862339.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-734114.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-406305.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-541535.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-302350.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-709524.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-428160.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-854705.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4548-219394.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-159716.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-222107.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4551-455536.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4552-966741.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-904907.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-818150.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-155976.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-969498.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-247759.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4558-478487.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-481606.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4560-131914.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-812586.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-842536.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-111068.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4564-361059.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-634065.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-291138.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-694505.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-332939.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-518467.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-542223.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-294081.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-156822.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-604166.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-385623.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-982092.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-323854.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4577-507971.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-577113.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4579-202989.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-104446.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-318982.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-284240.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4583-737547.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-531956.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-882601.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4586-248473.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-108190.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-741661.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-623534.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-125683.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-851268.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-631458.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-371538.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-980242.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-971407.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-781984.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-681046.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4598-279188.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-428363.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4600-810164.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4601-280518.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-849499.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-814660.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-772098.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4605-407958.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-647732.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4607-595644.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-851516.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4609-675033.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4610-950571.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-791428.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4612-837195.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4613-548452.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-940705.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-856547.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4616-410002.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-950320.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4618-730628.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-664090.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-625470.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-718909.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-238137.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-194690.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4624-987851.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-646057.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-644430.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-121426.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-842537.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-118679.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4630-516887.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4631-446453.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-872171.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4633-323463.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-833799.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4635-835527.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-214237.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4637-430026.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4638-584165.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4639-610217.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-936446.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-440293.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4642-772843.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-571973.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-230171.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-281779.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-636702.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4647-428556.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4648-713048.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4649-839184.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-903538.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-407959.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4652-248426.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-126596.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-883408.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4655-788725.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-466696.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4657-449298.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4658-658918.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-285281.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-868352.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-600152.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-151394.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4663-476861.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-934056.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-846068.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4666-546702.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-154764.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-948109.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4669-409204.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4670-844622.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-676553.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4672-818223.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-267497.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4674-488578.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-338642.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-761895.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-816147.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-600316.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-307337.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-361967.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-568210.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4682-274631.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-932695.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-997460.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-609104.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-622363.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-134106.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-660288.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-149558.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-676367.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-879937.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-594692.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-579449.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-218306.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-536179.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-908541.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-292619.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4698-728061.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4699-493185.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-243946.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-130729.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-642299.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4703-824098.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4704-197361.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-593124.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-324648.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-718522.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4708-540875.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4709-135222.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-211744.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-777840.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-455427.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-972038.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-189570.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-199438.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-162163.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4717-124939.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-886302.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4719-640834.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-396719.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-752071.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-665667.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-225713.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-277256.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-781857.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-970144.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-766777.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4728-885664.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-605305.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-995865.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-779043.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-855861.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4733-844031.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-852286.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-667859.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-777313.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-736239.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-712634.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-153701.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-423053.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-933295.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-882143.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-799494.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-176719.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4745-450546.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-670242.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4747-113835.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-384032.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-182338.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-833176.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-905631.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4752-933538.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4753-729204.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-392462.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-779109.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-895725.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-511462.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4758-871079.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-460432.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-602829.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-134492.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-629050.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4763-998023.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-619311.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-690294.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-357167.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-398109.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-255338.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-904865.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-188659.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-142811.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-134742.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-360467.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-542139.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-434260.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4776-674227.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-186432.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-263627.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-387294.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-192203.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-954212.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-318645.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-683234.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-451685.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-679687.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-898482.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-303536.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-899837.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-420084.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-569367.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-303093.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-642794.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-555877.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-865836.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4795-161571.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-292916.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-574389.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-486660.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-241053.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-807066.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-119276.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-340785.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-576579.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-227411.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-602581.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-894491.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-826631.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-903891.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-528647.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-731987.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-569206.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4812-488636.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-252457.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4814-955766.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-486618.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-414540.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-675364.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-906959.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-224500.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-776592.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-114953.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4822-964846.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4823-956359.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-412573.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-254292.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-648466.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-652317.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-119167.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-956729.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4830-712429.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-334013.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-124417.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4833-565344.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4834-415390.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-232081.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-315359.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-302982.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-963431.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-356151.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-813906.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-854101.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-608619.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4843-890841.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-337645.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-327159.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-817055.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4847-683797.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-112827.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-166796.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4850-827966.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-928000.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-248540.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4853-889343.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-875287.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-696304.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-339405.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-491961.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-949498.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-920372.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-724072.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-562136.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-161057.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-384133.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-260807.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-927654.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-126649.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4867-684397.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-784514.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4869-806665.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-613149.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-796366.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-455387.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-400591.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4874-584190.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-259956.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4876-547896.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-276573.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-628751.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-866742.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4880-310513.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-758059.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-379445.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4883-447590.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-591302.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4885-621766.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-962459.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4887-558646.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-923298.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-173263.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-451841.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-482085.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-191832.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-530255.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4894-859636.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-433614.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-957294.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-222691.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-313335.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-974965.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-871536.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-241515.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-373769.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-782007.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-759031.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4905-306322.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4906-154108.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4907-180138.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-756010.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-554270.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4910-399230.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4911-474662.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-479022.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-583731.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-785941.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-822755.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-320475.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-483536.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-360911.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-592297.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4920-156250.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4921-662867.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-324491.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-729466.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-274257.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-662667.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4926-508001.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-824484.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-460183.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-149064.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-463156.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-683439.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-441263.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-619643.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4934-165336.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-330602.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4936-631829.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-912665.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-438660.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4939-971459.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-870008.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-871265.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-363252.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4943-991419.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-774466.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-531868.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4946-642852.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4947-411868.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-468195.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-247660.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-923141.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4951-497960.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-714158.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-855986.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4954-636260.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4955-367335.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4956-611622.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-780275.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-154850.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-797284.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-566027.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-967704.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-767441.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4963-339886.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4964-754109.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-959027.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-246247.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-704591.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-754989.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-916073.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-651573.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4971-487895.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-554705.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4973-190980.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-488268.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-951182.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-434086.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-458331.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-909976.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4979-303678.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4980-652833.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-170420.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-115330.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4983-261278.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4984-349983.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-169063.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-980803.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-108261.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-692990.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-545573.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4990-761222.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-748271.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-368766.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-689202.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+4994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4994-895823.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+4995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-119241.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-853505.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+4997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-831180.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+4998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4998-818449.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+4999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-846442.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5000-613649.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-800998.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5002-610125.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-829731.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5004-201249.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5005-987293.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5006-652354.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-962130.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5008-497102.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5009-485518.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-284566.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5011-163870.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5012-412954.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-109542.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-562883.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-369687.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5016-796344.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5017-285679.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5018-685552.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-606966.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-411750.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-852658.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-633007.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5023-188140.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5024-963790.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-545296.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-983767.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-918089.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-835566.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-132598.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5030-267181.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-940609.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-548572.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-845783.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5034-878470.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-994878.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-345927.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-642636.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-423706.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-740070.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5040-313219.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-496595.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5042-546825.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-858443.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-168231.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-528705.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-111158.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-100782.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5048-830852.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-994900.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-573703.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-470373.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-252363.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-220070.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5054-478700.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-346402.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-317123.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5057-190992.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5058-900039.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5059-928593.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-334006.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-912618.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-867485.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5063-664527.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-404391.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5065-959256.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-902267.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5067-779653.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5068-289804.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-950603.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-679725.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-264138.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-852728.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-498586.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5074-959790.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-428070.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-447481.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-210694.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5078-515249.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-539220.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-174722.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-419121.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-824749.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-912412.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-409485.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-515736.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-863487.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-368701.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-452565.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5089-484189.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-266762.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-748492.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-379629.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-850084.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-189090.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-744395.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5096-966530.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-312577.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-995124.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5099-672832.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-473446.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5101-597749.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5102-263125.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-382414.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-542493.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-526499.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5106-176021.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-413327.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-415836.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-409940.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-351257.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5111-906169.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5112-414443.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-696526.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-675006.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-205363.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-213630.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-864913.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-557792.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-173640.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-662707.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5121-169694.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-373713.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-730683.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-301151.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-707280.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-354548.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-777610.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-792654.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-657220.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-222186.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5131-839552.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-271254.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5133-927629.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-445130.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-376374.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-525866.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-305916.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-120706.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-827916.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-762666.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-815808.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5142-427932.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-708679.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-346065.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5145-970144.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5146-978778.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5147-443936.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-648570.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-791177.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-821708.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-851499.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5152-631615.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-356792.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5154-454130.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-932525.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-462864.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-533226.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5158-424876.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-311451.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-418897.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-570518.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-326511.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-904374.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-845846.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-676014.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-400018.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-141721.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-322997.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-897497.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5170-326659.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-989333.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-872383.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5173-537006.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-858418.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-614466.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-750798.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-249832.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5178-196137.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-498109.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5180-488607.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-154535.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-175718.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5183-596930.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-947617.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5185-477080.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-388575.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-158823.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5188-688084.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5189-489478.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-166473.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-778757.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-627326.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5193-382598.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-266416.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5195-725579.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5196-759376.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-950973.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-206453.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-238125.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-585813.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-567860.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-181463.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5203-549400.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5204-552237.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-127739.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-239507.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-618993.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-536277.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-964593.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-443802.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-196260.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-737369.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-671445.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-962772.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-466182.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-321231.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-355776.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5218-445328.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5219-895569.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-307380.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-144365.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-637791.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5223-741340.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-224832.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-835998.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5226-943443.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-440772.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5228-373556.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-691591.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-671702.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-223346.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-452689.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-790494.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5234-821767.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5235-367559.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-441064.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5237-126922.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-898650.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-910897.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5240-542990.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-825613.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5242-179588.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-984489.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-278876.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5245-197670.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-100473.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5247-960216.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-289799.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-664064.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5250-164301.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-291241.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-640998.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-646193.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-853520.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-471171.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5256-970420.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-516170.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-846435.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-929711.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-221981.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-415070.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-125673.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5263-865088.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5264-444308.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-359591.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-838218.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-591646.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-355673.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5269-968602.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5270-616111.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-253680.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-408692.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-906571.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-969435.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-284813.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-453915.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-633720.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-252416.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-465165.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-493826.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-719474.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-116505.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-966620.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5284-533460.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-598681.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5286-846266.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-912571.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-777820.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-595739.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-758643.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-394831.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-704621.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-398262.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5294-795652.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5295-320225.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-182321.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-676604.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-288294.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-949097.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5300-127982.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-741521.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5302-144856.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-919779.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-733023.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-607268.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-613553.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5307-998975.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5308-213021.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5309-169906.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5310-331162.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-750457.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-745901.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5313-722591.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-704902.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-431392.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-679309.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-711604.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5318-300404.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-749436.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5320-221163.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-169468.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-176824.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-702832.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-287251.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5325-883138.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-382472.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5327-567555.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-766159.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-808546.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5330-356237.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5331-424222.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-293771.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5333-604020.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-791163.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-830926.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-648149.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5337-493509.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5338-331348.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5339-742955.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-327985.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5341-866275.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-932928.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5343-131904.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5344-573313.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5345-904293.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-962656.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-894482.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5348-945958.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-991705.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-410437.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-419222.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-867741.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5353-972725.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-977304.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5355-146922.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-869651.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-496717.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-552491.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-634011.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-481028.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-463907.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-215873.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-122063.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-375640.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-106027.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-274578.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-688646.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-949165.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5369-882822.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-554522.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-842056.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-681945.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-949508.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5374-396867.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5375-248178.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5376-671222.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-404525.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5378-404546.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-780869.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-972838.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5381-283376.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5382-695981.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-419506.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-106978.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5385-895259.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5386-599067.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-620909.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-623947.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-504853.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-267993.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-204873.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-968057.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5393-140887.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-867990.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-618353.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-803827.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-388019.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-581678.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-820790.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5400-980402.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-769982.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-760019.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-306669.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-830844.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-334709.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5406-131903.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5407-771735.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-681863.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-698798.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-492898.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-740598.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-764310.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-277889.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-559568.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5415-319888.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5416-972275.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-525554.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-915173.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-872917.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-445383.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-589376.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-655363.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-624954.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-654473.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-533972.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-683123.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-949718.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5428-549814.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-834246.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5430-311836.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-867626.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-761756.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-802304.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5434-837544.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-804556.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-850830.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-372124.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-963215.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-664617.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-309357.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-221290.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-930264.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-719704.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-121357.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-196812.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-860742.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5447-923057.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5448-804756.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-783069.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5450-524693.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5451-593703.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5452-450421.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-142733.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5454-562925.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-524688.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-754265.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5457-386155.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-220681.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5459-382053.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5460-193372.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5461-186403.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5462-189448.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-879936.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5464-159630.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-455006.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-996739.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-613763.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-879169.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-679604.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-403257.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-610151.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-450221.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-663974.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-306567.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-646418.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5476-103088.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-108882.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-825696.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-209991.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-276036.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-289846.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-786346.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-737880.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-759146.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-771866.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5486-951185.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-101549.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5488-250450.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-932433.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-841124.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-803851.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5492-359554.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5493-572774.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-990629.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-813070.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-657710.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-340213.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-620025.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-306814.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-572626.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5501-777835.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-814957.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-240785.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5504-761398.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-545264.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-540671.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-924744.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-331718.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-550076.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-875029.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-678011.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-519381.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-412341.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-764957.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-768718.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-367201.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5517-172252.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-820486.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5519-823560.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-652874.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5521-998959.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5522-391831.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-261686.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-386604.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-947896.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-785680.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-445200.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-556261.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-153940.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-834466.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-182326.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5532-906701.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-805097.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-754341.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-457812.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-239827.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5537-304521.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-348159.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-584365.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-770773.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-901859.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-923221.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5543-738904.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-214823.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-326982.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-414415.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-621818.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5548-913372.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-644455.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-975663.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5551-539657.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-265346.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-106152.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-401501.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-295340.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5556-777364.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-849579.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-875529.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-664046.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5560-403938.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-691336.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-840667.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5563-614444.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-590801.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-415632.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-530467.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-360636.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5568-329253.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-282577.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-589335.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-784372.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-864302.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-791810.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-470221.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-684294.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-649446.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-711685.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-867250.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-714789.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5580-705101.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5581-104189.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-303100.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-922618.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-813483.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-516647.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-947675.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-169080.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-712191.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-252328.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-241100.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-130487.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-286987.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-717912.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-345148.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-733907.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-265776.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-566187.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5598-185394.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-657073.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-734898.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5601-211819.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-716870.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-990577.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-784223.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-813975.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-748599.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-936583.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-651727.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5609-528908.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5610-710292.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-916454.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-463128.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5613-353302.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-819805.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-777162.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-209673.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-754515.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-174219.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-466129.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-370522.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-522341.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5622-991812.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-854446.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-648724.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-280836.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-857170.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-399935.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-620373.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-302345.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-510560.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-728790.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-708505.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-391223.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-108824.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-537563.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-273244.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-660470.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5638-471218.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-936418.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-930807.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-919729.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-387457.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-214095.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-986599.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-788095.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-299213.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-872846.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-688221.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-244152.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-494479.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5651-828832.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5652-424588.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-204565.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5654-344069.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5655-283187.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-559644.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-222662.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5658-149527.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5659-955378.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-359722.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5661-395127.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-558662.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-687429.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-792769.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-260202.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-406282.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-884136.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5668-338048.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-171565.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-452062.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5671-318188.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-903449.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5673-496087.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5674-528138.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-834553.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-747417.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-565573.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-583966.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-259549.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-968356.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5681-203801.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-196620.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5683-743550.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-186310.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-824623.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-798212.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-891944.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-446312.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-578792.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-135741.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-712911.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5692-767380.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5693-768267.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-605674.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-604992.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-747460.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-373514.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-813420.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-812668.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5700-263033.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-318916.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-318308.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-411303.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-392522.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-125002.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-539640.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5707-311866.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-254111.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-835108.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-464948.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-914127.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-727244.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5713-179354.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-769385.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-282510.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-622939.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-565526.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-550351.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5719-172135.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-326321.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-623491.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-628423.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-724334.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-553269.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-819307.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-896389.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-373034.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-394839.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-186380.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-570358.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-411395.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-187574.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-850946.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5734-221774.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-494523.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-809015.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-812136.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-655577.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-449083.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5740-166671.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-815575.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-547497.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-106038.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-270288.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-690787.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5746-331542.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-843998.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-894878.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-239150.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-395265.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-296283.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-250190.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-394466.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-947278.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5755-252882.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-577504.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5757-387338.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5758-818703.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-667833.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-512046.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5761-936021.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-508820.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5763-577090.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-504694.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-695007.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-337324.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-712309.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-212270.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-602364.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5770-190543.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-332254.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5772-865988.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5773-737447.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-189484.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-936220.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-491591.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-694931.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-908778.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-792871.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-902607.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5781-754321.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5782-811515.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-359525.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-955501.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5785-502808.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-712042.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-490510.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-206735.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-421625.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-681479.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5791-410565.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-632320.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5793-621474.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-125481.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-442757.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-257856.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-445029.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5798-420787.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-768914.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5800-486878.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-340687.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-405923.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-834223.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5804-675720.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-922364.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5806-441602.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-755258.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5808-849822.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5809-136532.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-785697.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5811-248015.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-121675.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-197867.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-240494.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-542063.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-917419.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-310384.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5818-445189.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-653655.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-705949.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-434156.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-762276.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5823-557465.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-386396.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5825-466604.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-619118.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5827-243116.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-651900.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-298327.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-228712.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5831-562211.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-110202.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-349700.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-135882.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-919314.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-182909.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-482589.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-417031.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-637639.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-684125.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5841-421441.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-585871.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-800377.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-520291.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5845-499630.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-550707.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5847-972702.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5848-667572.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-220419.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-766013.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-445876.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-511962.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-817339.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-582745.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-373247.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-708917.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-251293.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-582642.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-637793.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-368899.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-594642.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-629552.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-513031.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-440060.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5865-623396.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-280071.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-491318.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-693152.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-787758.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-897255.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5871-706112.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5872-411255.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-394293.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-623870.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-135808.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-785002.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-217452.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-404467.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-813245.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-802617.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-659021.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-916435.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-226321.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-627960.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-424026.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-226725.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-114448.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-345966.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-433499.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-432853.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-747881.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-850926.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-502617.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5894-339619.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-588967.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-443044.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-966123.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5898-138852.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-180696.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-223837.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-246195.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-922459.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-861457.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-609183.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5905-789421.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-218418.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5907-661450.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-155085.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-666378.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-739455.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-385998.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-609310.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-310768.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5914-312950.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-689280.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-740608.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-911552.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-779329.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5919-269717.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-368745.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-458482.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-832339.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-781290.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-465544.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-113252.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-617459.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-442721.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-991876.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-711552.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-827084.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-672187.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-203687.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5933-166420.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-287874.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5935-807367.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5936-330033.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-799360.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-684119.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-596191.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-104381.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-918291.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-738155.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-546232.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-396829.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-322329.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-239935.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-413679.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-492255.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-450890.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-440675.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-812763.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-889136.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-233279.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-889098.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5955-142651.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-230910.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-716299.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5958-861144.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-924023.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-777630.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-485674.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-654324.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-102481.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-920763.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-421049.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-825608.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5967-424593.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-773422.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-841534.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-891249.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-924104.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5972-353395.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-651927.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5974-718919.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5975-137300.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-483857.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-866064.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-550027.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-884031.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-311079.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-922997.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5982-199103.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-264950.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-353919.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-807741.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-572422.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-487659.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-443350.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-874312.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+5990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-823871.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-755055.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+5992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-967762.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-398069.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-651765.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-767932.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+5996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-644464.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-424508.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+5998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-546270.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+5999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-879698.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-610513.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-187032.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-262075.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-976405.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-548264.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-564509.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-903395.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-982548.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-528426.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-687340.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-207516.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-215450.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-121591.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-662528.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-837132.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-932184.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-578171.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-855307.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-892530.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-748642.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-177825.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-762549.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6022-617365.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6023-391994.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-746836.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-314477.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-219950.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-756256.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6028-311492.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6029-297865.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-517997.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-169563.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-388522.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-687528.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-577241.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-362316.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-808372.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-999736.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-563722.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6039-751896.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-602722.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-440537.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-540520.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-362319.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-254008.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6045-709304.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-879139.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-898792.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-901525.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6049-173459.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-541234.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-181429.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-893844.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-818450.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-852429.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-867543.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-212040.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-895992.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-166610.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-416879.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-405915.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-550854.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-581741.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6063-884104.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-260748.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-646958.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6066-117975.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-675239.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6068-864360.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-924126.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6070-306152.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-950687.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-244131.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-478533.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-490170.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-157499.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6076-261594.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-526180.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-355829.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-694656.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-167492.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-824656.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-160485.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-922975.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-852445.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-883567.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-235170.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-356682.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-199419.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-893166.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6090-591611.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-193266.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6092-933737.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-158392.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6094-725921.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-628388.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-838071.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-512418.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-991623.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-714406.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-184051.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-599410.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-928847.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-679131.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-221330.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6105-221380.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-353937.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6107-887810.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-180825.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-906984.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-618704.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6111-194261.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6112-348012.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6113-262748.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-708854.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-461822.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6116-305219.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-700900.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-933673.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-944298.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6120-546136.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-503912.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6122-614077.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-729783.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-147084.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-956381.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-308709.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-247992.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-138541.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-395479.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-884341.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6131-129460.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-525780.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-169623.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-964612.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6135-121615.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6136-255857.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-551197.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-341068.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6139-508133.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-330121.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-669592.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6142-170248.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-174729.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6144-601467.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6145-136902.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-340614.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-647588.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-747784.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6149-526068.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-229725.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-135472.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-364085.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-122027.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-685821.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-316340.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-331569.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-783110.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6158-439313.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-771291.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-596814.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-306126.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-239898.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-345695.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6164-202442.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-959845.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-857183.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-942499.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6168-321395.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-862509.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-886355.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-359820.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-787412.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6173-353038.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6174-849855.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-279642.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-912953.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-285677.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-231750.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-195396.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-658507.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-415433.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-531375.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-974163.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6184-434099.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-305848.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-744215.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-335870.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6188-251771.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-920226.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6190-122488.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-368110.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-869741.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-727105.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-156905.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-619322.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-933651.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-243013.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-933495.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6199-851009.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-813806.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-142439.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6202-899508.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6203-426824.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-184998.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6205-404515.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-142036.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-870364.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-382406.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-809251.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6210-493652.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-526029.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6212-530750.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-966001.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-866798.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-278247.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6216-754605.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-640616.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-776833.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-302564.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-551875.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-794861.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6222-184201.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6223-669248.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-251964.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-802345.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-810180.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-312249.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6228-151041.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-451285.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-130210.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-813854.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-783463.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6233-339198.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6234-986342.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-400219.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-966660.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-350505.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6238-672526.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6239-115463.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6240-135310.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-800746.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6242-239286.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-529248.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-326072.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-847158.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-144218.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-453386.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6248-494822.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-859349.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-482753.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-778647.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-490473.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6253-372574.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-277628.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6255-884163.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-891243.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-813644.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-617645.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-541337.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-278092.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-772453.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-169739.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6263-133128.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-421021.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-989000.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-999746.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-403114.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-955604.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-442423.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6270-567710.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-544983.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-723203.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-693634.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-335294.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-414681.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-930463.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-738368.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-592138.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-595350.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6280-201498.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-249811.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-497387.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-610041.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6284-603122.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6285-725154.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-294304.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-422508.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-815677.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-812520.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-426364.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-542760.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6292-324048.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-771623.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-435760.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-136960.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-815380.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-502799.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-125016.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-234771.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-379403.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-312659.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-389063.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6303-506013.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-632515.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-257695.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-908937.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-136963.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-587659.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-980032.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-321093.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-450122.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-466350.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6313-798184.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6314-945145.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-609220.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-555832.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-106261.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-109551.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-246146.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-311512.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-131202.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6322-525458.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-293266.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-176139.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-120040.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6326-179196.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-146339.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-925308.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-103231.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6330-246216.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-787617.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6332-892940.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6333-890957.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-403422.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6335-829615.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-202010.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-119223.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-366420.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6339-170830.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-522815.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-287466.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-671735.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6343-378840.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-664958.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6345-618123.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-836014.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-309426.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-289111.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6349-110751.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-403837.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-940171.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-558545.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-179451.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-684188.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-750610.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-275581.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6357-658125.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-128740.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-700040.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-825645.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-496946.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-308801.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-258669.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6364-103107.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6365-532378.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-866817.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-634881.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6368-811382.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-452594.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-653539.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-210287.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-772707.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6373-784935.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6374-944576.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-176806.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6376-532595.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-863954.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-437490.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6379-679088.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-802030.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-293247.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-399927.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6383-817349.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6384-653280.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-237314.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-644561.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6387-943108.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-717847.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-518070.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-711078.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-765215.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6392-359055.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-598723.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-452520.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-999162.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6396-703274.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-673490.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-461105.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-457958.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6400-212515.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-438839.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-143119.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-967213.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-704818.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-725013.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-327865.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6407-520408.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-645776.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-485725.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-862993.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-946939.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-336910.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-422971.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-641840.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6415-867098.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-864196.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-479174.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-332411.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6419-811341.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-263068.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6421-257278.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6422-339001.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-425166.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-229574.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6425-714344.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-430116.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-872082.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-596882.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-770525.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-720387.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-994201.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-394059.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-387462.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-641843.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-564509.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-176846.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-137542.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-651974.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-100380.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-872355.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-285386.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-913295.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-142671.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-309039.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-458428.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-996278.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-154880.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-735174.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-661828.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-196399.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-894117.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-496400.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-102107.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-307940.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-183490.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-862489.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-382663.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6458-552658.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-416386.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-640563.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-517727.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-268292.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-471124.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-598567.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-353673.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-526878.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-139068.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-696379.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-890977.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6470-406597.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-353468.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-220941.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-226199.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-631118.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-593920.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-378407.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6477-761704.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-885840.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-884751.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-199212.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-929267.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-149386.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-655234.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-240453.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-519782.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-657106.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-859623.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-548786.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-600381.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-240357.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-228998.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-437420.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-398915.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-597496.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6495-355394.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6496-529939.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-523134.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6498-143253.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-266112.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-197969.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-874000.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-210236.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-438010.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-346576.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-150118.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6506-371417.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-655316.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-925703.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-403815.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-621058.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-783974.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-379415.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-542092.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-186239.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-262367.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6516-321116.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6517-816962.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-572864.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-948397.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-573094.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6521-411349.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-624371.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6523-447020.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-507073.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-430556.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-282855.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-521200.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-495921.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6529-406371.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-811636.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6531-877792.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-950005.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-565216.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-152673.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-167986.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6536-108585.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-363675.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-367089.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6539-840338.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-592011.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-131042.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6542-297779.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-934606.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6544-518495.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-235501.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6546-629985.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-711613.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6548-810311.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-235895.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-649785.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-465412.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6552-776195.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-552181.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-755807.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-300644.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-327893.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-947808.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-493438.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-937490.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-137774.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-244097.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-388079.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-951851.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-201902.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-884217.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-665771.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-287079.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-330761.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-996275.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-791032.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-155658.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-152156.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-783106.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6574-802952.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6575-191569.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6576-327475.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-311164.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-847869.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-477849.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6580-561071.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-191871.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-456546.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-194968.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-848553.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6585-982665.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-954216.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-651900.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6588-597897.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6589-753482.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-845811.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-442771.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-543715.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-722727.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-525060.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-393661.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-700563.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-410955.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-244166.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6599-328104.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-386784.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-299510.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6602-433781.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6603-517528.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-684663.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-836987.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-275560.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6607-426281.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6608-930947.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6609-508676.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-120592.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-993949.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-110729.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-908720.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-140520.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-112430.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6616-350487.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-253303.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6618-765810.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-157951.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6620-708570.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-124681.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-563268.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-173628.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-428162.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-646126.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-451987.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-987642.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-526523.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6629-368146.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-267160.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6631-220537.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6632-144102.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-389684.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-798153.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6635-308449.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-951516.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-591057.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-823451.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-323388.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-962114.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-463103.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-648421.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-253412.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-710210.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-444854.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6646-501042.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-885076.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-737825.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-919068.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6650-700562.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-406948.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-697440.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-849308.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-144736.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-607413.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-710733.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-503859.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-702834.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-319611.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6660-430414.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6661-382836.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-919543.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-128668.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-654050.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-317128.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6666-755379.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6667-839964.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-813912.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-184490.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-354543.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-674376.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-443267.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6673-359989.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-967015.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-705297.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-799691.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-850927.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-801522.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-832104.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-500822.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-240240.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6682-135554.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-469264.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6684-932616.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-557149.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-979075.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-493689.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6688-773461.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-809727.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-326792.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6691-586319.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6692-879512.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-375935.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6694-619312.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6695-175733.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-843706.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-308743.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6698-673382.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-280520.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6700-778836.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6701-463322.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6702-792817.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-735041.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-855139.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-222866.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-641304.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-146455.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-591156.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-132108.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-722186.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-906338.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-965107.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-814045.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-625309.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-956869.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-857424.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-610477.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-332391.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-394448.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-432344.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-319094.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-475703.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-372409.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-416692.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-409592.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-117748.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-656361.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-324012.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-955475.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-873476.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6731-477590.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-241118.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-314249.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-742433.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-516606.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-929811.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6737-173031.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-399808.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-196248.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-603929.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6741-383361.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-155378.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6743-530289.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6744-764265.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-325822.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-242401.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6747-630392.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-543875.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-184429.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-206010.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-507139.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-443842.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-890118.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-861640.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6755-505781.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-191649.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6757-252160.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-703145.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6759-603173.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6760-242225.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-184946.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6762-108221.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-381182.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-201576.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-531966.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-299037.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-921339.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-779328.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-733424.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6770-571048.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-942048.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-316503.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6773-528324.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-906563.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-671274.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6776-295967.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-835007.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-163204.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-324798.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-237184.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-650373.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-545572.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-982028.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-216156.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-918872.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-664863.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-611955.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6788-929732.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-427900.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-501442.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-170422.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-684624.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6793-322839.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-290725.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-826376.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-720806.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-781387.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-489787.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-920021.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-413823.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-635062.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-515258.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-130109.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-387209.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-501045.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-823057.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-891155.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6808-646132.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-823493.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-857915.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-192479.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-850429.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-627991.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-826391.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6815-755102.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-199701.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6817-763685.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-942663.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-840359.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6820-831355.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6821-392477.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-141321.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6823-203498.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-333726.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-627400.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-152730.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-194930.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-709974.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-666509.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-100295.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-679465.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-261460.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6833-838822.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-525554.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6835-458159.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6836-471638.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-282979.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-297625.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-400286.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-587453.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-338137.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6842-919138.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-656307.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-656677.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-258885.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-986105.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6847-392427.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6848-503051.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-609601.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-711489.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-520841.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-805960.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-108110.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-345236.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-487959.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-435398.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-390940.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-218239.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-485133.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-485077.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-269542.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-960216.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-439526.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-918374.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-280096.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-814751.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-356454.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-147430.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-579905.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-492063.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-665510.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-215601.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-928996.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-875607.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-867975.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-531357.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-459800.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-696687.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-251629.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-992745.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-722993.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-513476.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-284199.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-236264.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6885-965483.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6886-780205.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-118085.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-820138.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-644020.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-895299.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-192431.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-605514.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-994366.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-354692.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6895-857889.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6896-640285.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-619021.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-701245.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-958146.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-562833.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-801969.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-442176.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-785125.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-727577.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-359362.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-324114.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-962083.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-606416.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-119747.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-746475.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-188557.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-886981.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-304435.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-623703.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-995827.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-295501.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-752667.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6918-230684.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-101179.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-526448.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-935629.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-781427.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-642835.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-720645.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-188830.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-626445.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-425817.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-884690.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-505132.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-248750.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-875157.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-222944.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-642003.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-119058.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-444490.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-987628.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-462860.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-106180.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-582992.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-614569.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6941-316507.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-439467.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-224391.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6944-240267.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-351231.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-150815.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-583513.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-871011.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-239246.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-274291.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-684017.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-821699.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-659128.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-936388.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-677759.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-251924.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-302448.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-602380.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-237946.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-416676.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-384426.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-822604.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-859142.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-830804.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-143199.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-137310.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-681328.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-206673.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-945805.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-726360.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-733197.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-530439.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-928251.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-377141.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6975-813125.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6976-939322.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-567919.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-533275.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-441872.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-275643.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-713538.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-147812.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-749045.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-495869.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-668772.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-866603.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-982827.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-886885.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-729747.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+6990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-842367.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-470210.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6992-631065.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+6993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-223135.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-649874.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6995-166183.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-728053.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+6997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6997-134149.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+6998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-949317.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+6999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-244305.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-775043.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-639963.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-378427.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-395104.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7004-929184.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7005-254392.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-326278.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7007-829522.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-587659.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-309423.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-247030.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7011-668006.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-574964.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7013-958195.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-980980.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-677698.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-689602.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-569210.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-709269.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-745864.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-583615.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-663001.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-324552.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7023-214358.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-601134.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-441053.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-143660.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-647798.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-984300.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7029-344268.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-796484.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-785792.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-205262.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-257670.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-474488.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-238744.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7036-228481.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-511372.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-837034.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-824309.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-351727.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-488544.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-129332.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-192764.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-178138.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-897867.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-390813.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-694528.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-665839.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7049-221808.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-225690.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-527509.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7052-193500.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-485920.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-815388.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-573002.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-125733.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-325737.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-405530.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-484510.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-675485.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-807649.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-332653.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-622334.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-493585.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-650673.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-148938.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-926879.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-467187.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-990304.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-684364.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-584059.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-722448.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-506874.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-279261.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7075-497993.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-555873.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-207085.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-464544.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-190548.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-465544.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-661461.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-592215.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-288548.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-685838.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-770436.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-912846.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-606001.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-708626.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-317744.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-215265.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-539648.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-237848.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-480790.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-443083.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-822866.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-130403.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-260287.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-749896.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7099-221428.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-360125.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-816086.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-168559.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-685813.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-107494.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-474814.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-807297.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-509920.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-777256.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-701912.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-722859.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-984521.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-461119.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-452760.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-280524.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-615189.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-943548.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7117-653316.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-185111.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-694820.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-588800.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-287453.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-116086.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-259425.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7124-432692.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-824294.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-883650.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-264091.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-955532.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-752796.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-532025.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-473245.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-382591.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7133-884686.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-985456.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-568641.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-615130.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-885737.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-636187.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-653217.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-725104.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7141-272138.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-683051.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-392301.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-795614.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-145376.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-655437.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-427020.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-852503.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-141809.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7150-968391.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-562602.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-879515.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-967132.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-936935.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-777409.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7156-477713.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7157-382340.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-634665.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7159-175986.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-162024.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-969576.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-445952.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7163-264710.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-963793.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7165-651575.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-263854.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-809864.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-363513.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7169-811918.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-127598.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-749253.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-280746.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-771303.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-731339.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7175-750419.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-235587.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7177-277915.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-511412.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-112496.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-599763.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-299858.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-451452.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-855347.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-690101.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-955215.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-737207.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7187-328932.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7188-400343.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-666469.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7190-281148.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-674782.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-402932.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-331480.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-337276.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-199552.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-170338.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-246461.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-739981.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7199-892486.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-128135.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-261334.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-357666.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-377592.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-624535.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7205-467455.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-124500.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-949154.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-107488.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-248397.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-712158.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-834904.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-810436.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7213-111564.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-136423.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-376394.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-754675.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7217-156770.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-600951.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7219-689828.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7220-477289.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-453332.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-363283.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-173923.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-715579.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-963379.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7226-793404.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-285068.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-712325.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-586415.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-139343.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-749229.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-927388.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-553971.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-215048.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-143437.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-554540.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-182237.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-959344.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-436953.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-399180.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-709352.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-370421.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-372828.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-616634.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7245-881178.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-316306.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-443290.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-404618.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7249-913380.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-735840.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-586613.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-645665.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-318864.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-235813.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-690532.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-831779.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-426110.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-376833.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-565622.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-236018.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-724406.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-416942.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-812051.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-378143.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-704773.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-437286.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-671973.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-159753.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-219096.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-257352.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-353803.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-967528.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-130220.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-238156.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-270068.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-752439.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-760998.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-969988.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-843242.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-121341.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-548375.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-444401.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-162401.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-371118.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7285-525407.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-744619.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7287-463489.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-298290.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-216037.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7290-556597.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7291-506320.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-428223.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-928740.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7294-130543.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7295-121331.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-246369.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7297-909492.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-438629.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-119786.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-299517.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-911327.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-879778.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7303-967072.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-503899.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-757145.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-489356.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-210819.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-355687.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-849080.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-696862.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-395799.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-694675.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-603415.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-377729.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-220580.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-371216.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-301961.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-113182.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-872143.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-681551.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-829877.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-783789.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7323-872297.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-218883.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-525895.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-153201.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-853218.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-223528.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-142578.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-456604.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-747098.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7332-782699.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-448862.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-905780.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-613413.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-916948.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-590293.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7338-955516.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7339-277418.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-118916.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-443906.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-261307.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-981304.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7344-963078.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-711307.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-939920.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-352320.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-420551.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-471352.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-180412.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-637455.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-450884.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-137416.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-811158.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-401152.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-739353.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-495578.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-256785.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-234210.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-946900.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-232624.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-509143.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7363-956007.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-887386.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-900930.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-213290.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7367-767252.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-388144.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-271854.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7370-958007.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-711354.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7372-719653.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-330317.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-622244.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7375-566006.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-273515.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-684653.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-360049.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-418833.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-350122.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7381-668308.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-120684.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-132783.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-528939.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-831423.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-369816.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7387-767122.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-588552.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-956269.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-339041.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-709043.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-356660.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-313496.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-419462.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-964211.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-795896.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-696095.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7398-932515.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-931140.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7400-530392.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-449667.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-727740.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-134800.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7404-491038.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-263910.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7406-196206.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7407-489447.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-227641.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7409-885690.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-601747.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-541388.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-183649.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-806875.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-664412.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-536081.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-137814.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7417-641793.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-781674.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-972611.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-322722.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-900617.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-646038.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7423-189102.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7424-917905.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-758045.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-670969.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-250848.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-437841.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-269806.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7430-193214.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-481840.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-209102.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-144209.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-111370.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-168605.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-344710.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-550105.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-649942.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7439-190325.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-994661.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7441-744567.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-307969.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-480500.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-588130.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-857474.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7446-240971.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-330620.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-738280.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-394983.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7450-936408.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-977437.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-779272.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-741070.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-700808.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-742675.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7456-135296.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-726664.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7458-402747.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-624770.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-498520.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-783899.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-436699.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-499285.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7464-831448.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7465-660461.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7466-413521.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-444240.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7468-606310.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7469-297463.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-166395.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-668730.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7472-390591.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-258856.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-467767.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-433512.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-131929.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-464446.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-486066.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-579825.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-722453.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-454036.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-326259.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7483-913358.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-642332.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-313191.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7486-754804.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-242205.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-859316.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-881123.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7490-568953.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-142545.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-284240.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-331771.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-898860.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-303715.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-352660.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-830174.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-818885.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-122292.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-543435.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-182571.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-576682.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-909881.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-884388.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-189794.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-821226.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-139369.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-532652.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-216196.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-214405.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-400880.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-976269.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-248900.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-663331.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-198042.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-915199.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-782536.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-479215.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-326437.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-500964.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-446820.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-936005.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-482666.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-721487.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-106829.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-727488.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-403930.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-307598.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-922291.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-827415.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-870874.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-132592.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-491089.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-367384.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7535-581951.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-922133.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-283669.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7538-410248.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-961642.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7540-744179.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-428096.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-851718.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-301445.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-386635.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7545-737586.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-254081.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-170276.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7548-168356.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-126856.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-202153.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-162630.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-256101.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-500534.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-671302.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7555-587483.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-741898.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7557-123391.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-696890.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7559-608027.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-988223.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-116387.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-193911.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-961609.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-883959.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-675950.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-423536.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-494195.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-726585.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7569-958792.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-828185.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-925239.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-473871.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7573-211299.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-758704.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-277063.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-972427.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-373155.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-415170.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7579-512378.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-691979.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-505010.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-960225.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-708579.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-798634.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-853647.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-622773.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-526266.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7588-354752.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-365062.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-706737.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-116663.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7592-110369.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-335223.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7594-810834.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-596817.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-549120.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-148901.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7598-421711.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-599087.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-336347.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-730228.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7602-795618.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-431721.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-135709.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-422925.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-120910.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-936548.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7608-210715.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-866892.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-198208.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-743554.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-222876.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-580595.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-722819.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7615-761245.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-706389.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7617-158918.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-381094.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-684483.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-706992.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7621-158134.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-153887.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-215209.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-357633.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7625-620581.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-941088.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-630038.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-985207.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-536664.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-867917.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-261793.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-404734.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-247600.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-599252.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-607355.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7636-272125.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7637-814276.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-407741.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-846362.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-329011.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-460960.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-279438.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-875007.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-248576.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-761258.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-944942.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-849229.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-467094.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-154960.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-271209.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-969892.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-662325.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-407661.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-424679.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-655099.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-497491.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-184241.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-170781.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-218570.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7660-316560.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-999599.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-404833.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7663-727020.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-243811.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-907242.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-483836.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-290081.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-155622.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-180953.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7670-493911.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-562382.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-562025.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-927860.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-130307.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-540486.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-192399.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7677-679142.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-566929.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7679-549516.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-625582.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7681-252820.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7682-720337.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-996097.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-101091.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-663660.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-626306.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-645663.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-884983.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-507027.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7690-497597.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7691-458298.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-701522.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-869432.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-485073.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-661485.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-214908.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-974761.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-441156.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-868712.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-483813.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-221764.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7702-904240.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-601765.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-251782.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-862880.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-391190.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-788850.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-325373.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-659221.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-165478.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-976481.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-535425.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-496060.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-153185.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-104004.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-879301.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-195314.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-952534.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-641026.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-152647.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-741557.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-106763.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-146986.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-668438.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-742573.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-235392.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7727-877333.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-751939.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7729-449351.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-797767.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7731-236766.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7732-903786.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-915390.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-153151.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-998250.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-338356.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-651420.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-335807.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-110199.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-554088.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-637512.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-726257.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-321936.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7744-831560.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7745-182270.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-667896.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-453893.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-946822.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-181846.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-975043.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-918015.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-727244.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-887905.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-119642.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-501761.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-756441.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-377585.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7758-811783.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7759-643680.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7760-406652.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-356646.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7762-435659.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-992819.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7764-567844.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-732076.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7766-743064.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-555648.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-272025.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-408751.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-684591.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-838182.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-573603.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-820184.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-509779.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-551757.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-230629.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-892216.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7778-533943.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-932414.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-974987.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-103656.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-484379.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-840608.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7784-740935.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7785-328887.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7786-371241.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-874385.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7788-845139.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-109549.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-320270.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-658180.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-779481.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-622317.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-660874.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7795-647531.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-278313.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-832607.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-724734.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-968133.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-452055.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-210808.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-991251.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-610859.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-622649.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7805-752052.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-262114.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-830376.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-810373.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-324023.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7810-805871.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-789224.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-780658.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-134378.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-258604.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-165451.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7816-224317.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-531312.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-903235.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-530060.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7820-686027.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-710282.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-642909.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-264823.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-247236.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-378183.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-826163.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-813152.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-397673.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-537485.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-296592.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-627458.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-938919.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-738757.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-912059.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-727992.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-376887.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-995840.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-767101.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-313217.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-575854.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-382695.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-256839.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7843-988914.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-389017.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7845-228185.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-570410.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-445336.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-764196.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7849-778320.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7850-516510.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7851-904614.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-999165.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-686303.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-758133.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-890263.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7856-730424.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-482457.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7858-141639.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-541281.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-412096.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7861-874419.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-287320.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-707877.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-385852.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7865-899034.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-221277.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-940952.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7868-381040.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-198703.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7870-139747.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-775834.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-564077.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-240419.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-744630.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-603806.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-342970.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-500733.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-254326.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-889483.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-669315.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7881-952875.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7882-946529.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7883-338765.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-958135.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-513848.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-323330.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-355732.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-215530.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7889-998389.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-778642.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7891-906412.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-380350.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-688382.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-115015.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-153872.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-703842.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-780671.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-856763.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-572812.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7900-498425.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7901-200102.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-561546.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-308106.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7904-650719.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-553985.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-314121.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7907-131915.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-767782.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-373342.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-736209.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-803230.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7912-169294.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-509410.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-914228.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-111379.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-401715.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-392487.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7918-781292.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-193561.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-741418.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-436073.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-405688.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-982357.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-657460.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7925-312576.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-245646.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-509080.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-251534.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-962947.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-721325.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-624423.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7932-245409.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-241881.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7934-822387.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-662783.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-979264.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-924286.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-638933.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-788369.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-111641.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-376929.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-262810.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-448648.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-960645.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7945-987171.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7946-255301.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-971760.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7948-913501.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-952497.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-442751.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7951-949887.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-195139.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-327756.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-855967.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-759956.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-283079.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-783020.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-868816.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-165772.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-619011.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-201029.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7962-192521.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-303596.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-782235.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-635582.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-645296.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-628728.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-738664.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-303891.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-438208.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7971-299648.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-460545.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-750106.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-225253.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-224371.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-864263.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-781472.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-540858.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-348389.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-985922.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-802790.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-954520.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-504564.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-216262.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-841580.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-578940.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-786770.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-595492.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-511938.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+7990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-468844.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-105757.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7992-546133.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7993-610467.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-515868.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-682770.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+7996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-164937.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+7997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7997-741081.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+7998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-819555.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+7999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7999-435493.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-601425.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8001-506873.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8002-577670.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-319953.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-778343.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-150338.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-861347.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-479684.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8008-362967.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8009-318845.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-734498.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8011-707075.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8012-576707.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-174216.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8014-756721.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-478302.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-540417.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-139400.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-777327.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-918001.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-128121.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-994327.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-930287.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-279254.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-368996.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8025-847940.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-709939.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-134195.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8028-411026.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-449019.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8030-339634.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8031-906050.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8032-611255.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-509326.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8034-914269.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-623696.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-456177.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-709145.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-774314.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8039-783766.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-123926.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-719095.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-799005.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-917317.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-356040.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-833159.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-528437.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8047-300855.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-257444.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-725707.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-870265.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-805617.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-185637.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-358370.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-208955.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-904961.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-341625.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-513700.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-207419.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-773106.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-725397.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-146350.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-196915.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-764320.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-327746.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-267756.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8066-493555.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-472915.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-565971.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-940228.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-775570.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-359484.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-424639.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-687301.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-384656.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-634601.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-761218.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-819943.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-320954.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-459212.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-978992.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-479645.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8082-827198.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8083-940892.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-920144.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-635843.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-583141.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8087-718109.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8088-511446.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8089-349665.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-591948.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-984462.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8092-772561.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-423375.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8094-483639.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-563639.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-648758.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-390588.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-633451.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-652611.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-476338.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-996764.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8102-177332.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-481711.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-392678.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-998241.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-424762.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-573716.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-740682.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-915903.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-868911.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-365809.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-615837.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-494266.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-773229.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-736433.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-729354.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-470489.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-975619.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-726532.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-585607.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8121-587700.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-908847.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8123-997693.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-729582.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-342869.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-321990.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-168545.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8128-682522.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-267568.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-279303.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-850695.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-174380.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-497203.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-111145.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-750978.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-214379.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8137-474503.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-274583.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-980909.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-435204.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-737074.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-374055.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-385184.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-398083.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-429228.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-392139.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-139923.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-420125.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-664960.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-700807.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-420875.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-886264.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-744877.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-338158.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-166964.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-262181.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-333115.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8158-405065.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-733471.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-439949.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8161-842894.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-645746.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-607650.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-293283.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-140313.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-488544.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-859009.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-335053.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-134613.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-907444.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-540489.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-286440.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8173-727018.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-364887.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-473352.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-523204.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-317350.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-443926.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-864114.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-388565.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-623950.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8182-974738.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-100114.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-466593.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-617884.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-764671.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-509489.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-151819.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-264027.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-615879.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-788229.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-987599.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-384849.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-828894.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8195-558189.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-479544.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-717129.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-492781.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-708957.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-766171.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-336221.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-774634.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-476760.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-373562.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8205-785011.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-700014.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-249697.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8208-249823.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-399959.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-379125.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-330195.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-399158.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-929042.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8214-154801.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-326743.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-965864.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-441398.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-599616.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-213063.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8220-864815.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-234766.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8222-353329.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-550916.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-888197.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-641076.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-342122.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-429758.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-180005.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-951272.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8230-643285.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-161898.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-785469.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-630290.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-891765.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-899780.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-738619.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8237-625940.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-758060.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-408372.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-673687.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-938414.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-232752.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-242916.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-735193.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-386397.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-905692.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-610241.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-386366.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-393102.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-748564.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-552426.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-828540.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-967880.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-449722.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-502130.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-776855.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-858170.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8258-842099.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8259-659660.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-483780.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8261-536166.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-255549.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-198852.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-676779.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-902521.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8266-947536.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-961773.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8268-489200.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-508351.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-479502.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-827005.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-396887.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-416296.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-477137.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-754834.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-830788.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-427590.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8278-873499.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-141308.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-850082.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-526630.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-199745.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-780848.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-196087.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-410476.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-713410.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-908756.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-462365.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-164382.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-143922.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8291-732346.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8292-801261.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-942191.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-735460.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-956467.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-539371.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-976432.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-203209.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-247463.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-835402.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-212185.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-761829.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-277789.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-813950.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-411192.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-170995.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-146194.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-229578.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-115254.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-208298.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-872898.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8312-611624.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8313-832546.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-731877.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8315-405556.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-163833.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-987589.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-359918.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-654900.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8320-425882.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-545605.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8322-453881.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-790852.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-423014.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-956140.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-689591.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-459436.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-285266.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-408620.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-809048.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-262635.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-680456.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-685437.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-117355.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-836965.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-965041.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-956051.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-203714.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-728998.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8340-998250.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8341-693625.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-177473.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-927063.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-891295.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-188208.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-863084.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-953918.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-764248.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-406447.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-507782.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-733713.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-702489.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-443968.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-556393.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-610007.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8356-220232.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-188720.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8358-182877.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-130025.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-123678.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-332788.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-449001.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-610549.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-946232.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8365-308877.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-618076.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-596871.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-353542.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8369-323957.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-881111.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-905925.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-123895.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-278805.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-281271.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-465807.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-892955.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-329974.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8378-442194.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-145349.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-715692.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-444902.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-842544.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8383-941000.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8384-170290.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-974319.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-993444.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-987649.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-987275.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-899455.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8390-279516.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-176673.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-812937.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-716447.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-509768.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-539334.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-713485.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-238555.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-168704.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-455295.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-169366.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-773758.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-151300.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-681741.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-521747.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-321113.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-594820.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-363634.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-584601.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8409-446427.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-971440.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-795464.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-508832.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8413-895737.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-509064.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-563655.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-285213.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8417-703925.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-527066.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8419-338523.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-515865.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-507712.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8422-433795.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-150783.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-748262.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-109811.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-685578.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-122654.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-997891.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-461832.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8430-243341.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-175801.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-762581.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-880888.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8434-991378.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-303222.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-748583.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-137504.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-289193.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-155266.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-618827.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-767082.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-192177.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8443-516316.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-508244.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-379717.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-516760.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-794138.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-395962.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-122409.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-583695.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-952795.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-539213.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-536320.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-186102.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-863607.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8456-541782.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-488595.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8458-839106.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-454502.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-444262.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-419414.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-187739.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-501683.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-904541.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-816818.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-680165.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-792813.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-488146.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-742635.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-552687.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-234042.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-150941.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8473-163032.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-984828.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-488733.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-654026.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-309405.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-138496.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-339418.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-413792.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-584231.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-376068.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-194639.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8484-726255.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-171536.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8486-519417.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-265765.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-188110.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-215530.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-623275.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8491-457522.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8492-509313.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-157100.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-237867.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-703665.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-500030.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8497-563440.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-487965.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-806708.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-663427.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-254230.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8502-747589.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-901527.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8504-519423.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-282700.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-938867.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8507-696606.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-815849.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-393444.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-894811.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-138318.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-393125.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-526666.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-728000.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-556536.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-546937.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-482262.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-408170.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-613947.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-424773.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-101819.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-894498.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8523-317306.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-804291.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-157782.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-655996.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8527-335593.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-343648.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-519251.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-506613.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-693090.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-280169.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-109059.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-103974.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-467060.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-593197.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-187900.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-335367.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-809344.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-423328.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-511285.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-560763.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-362395.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-370242.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-487434.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8546-297018.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-682975.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-357918.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-503006.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-129778.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-638247.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-471955.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-218405.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-515686.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-695519.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8556-764779.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-773123.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-635336.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-176229.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-728045.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-997843.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8562-961650.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8563-556764.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-726563.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-171722.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-257866.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-303444.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-965282.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-386544.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-576061.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-152718.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-323898.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-658777.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-151700.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-693962.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-392168.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-657802.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-833112.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-371295.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-698549.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-154798.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-948067.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-951901.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8584-253019.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-690612.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-879413.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-751692.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-604035.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8589-383656.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-900833.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-811941.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8592-465598.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-789199.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-609254.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-674447.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-523444.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8597-533727.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-487811.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8599-860142.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-865350.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-372468.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-983915.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-435918.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-701465.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-954897.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-273283.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-549939.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8608-239253.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-832224.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-874367.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-400241.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-773966.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-656232.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-795611.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-102541.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-779837.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-629199.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-683172.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-227434.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-242631.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8621-948616.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-649092.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-983222.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-460095.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-143070.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-610128.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-393140.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-790216.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-261743.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8630-490863.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-195887.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-985620.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-849998.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8634-980516.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-649897.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-123955.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-168639.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-524661.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-577872.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-975290.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-232098.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-122962.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-242586.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-240406.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-954985.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-871340.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-814150.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8648-938412.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-421958.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-764084.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-109870.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-412080.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-241276.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-334982.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-887022.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-184116.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-135603.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-488974.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8659-267091.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-931137.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-381304.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-650244.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8663-370453.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-253240.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-191250.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-836231.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8667-105287.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-620529.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-143627.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8670-381086.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-520968.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-834380.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-797884.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-134950.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-911318.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-618030.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-457142.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-714536.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-635198.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-797494.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8681-780878.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-237229.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-861578.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8684-922669.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8685-168379.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8686-771493.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-332835.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8688-408587.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-772077.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-941743.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8691-775692.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-779066.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8693-736833.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-408246.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8695-111689.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-963455.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-324970.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-112814.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-893760.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-543598.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-541616.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-499299.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-574195.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-581238.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-668118.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-732682.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-360813.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-144833.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-891983.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-721169.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8711-664179.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-436144.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-620264.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8714-259962.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-488720.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-167337.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-940246.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-908900.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-183551.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-952078.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8721-669851.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-677993.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-118102.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-796699.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8725-122834.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-664789.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-286631.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-548586.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-657941.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-192149.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-693155.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-958188.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-465022.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-918427.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-342942.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-614002.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8737-117712.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-609861.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-548622.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-531812.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-831717.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-623390.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-555581.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-243332.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-305022.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-168725.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-159536.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-232569.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-216886.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-555266.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-800002.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8752-648871.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8753-781626.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-281451.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-279584.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-350945.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-144841.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-420852.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8759-579473.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-981757.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-714108.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-345311.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-997867.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-535068.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-185823.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-845850.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-562637.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8768-581975.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-864374.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-286409.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-436823.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-472123.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-922423.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8774-389637.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8775-290944.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-655701.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-539970.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8778-290060.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-254464.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8780-808825.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-281409.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8782-195599.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-676768.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-988164.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-665641.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-976338.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-847634.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-525438.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8789-825528.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-453750.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-696311.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-861191.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-148520.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-349481.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-270746.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-664195.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-889612.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-288185.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-468059.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-192723.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-705670.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-717482.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-199108.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-539998.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-704404.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-133239.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-784350.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-705829.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-759385.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-649669.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-934984.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-987432.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-703975.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-807455.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-992832.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-391293.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-892503.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8818-776403.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-514106.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-308059.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-698552.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-220815.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-742950.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-837871.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-109298.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-119432.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-406858.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-574271.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-167524.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-972140.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8831-164202.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-871580.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-835226.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8834-169113.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-946199.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-464013.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-820935.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-808438.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-377615.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-567154.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-874317.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-716444.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-320694.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-122860.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-557765.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-759362.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-709797.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-714809.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-615228.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-104487.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-504626.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-997488.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-330892.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-296929.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-734633.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-722911.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-611130.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-973364.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-753678.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-666254.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-499944.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-457579.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-934526.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-136096.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-234509.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-259396.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-655633.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-729644.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8869-240162.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8870-460476.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-964261.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-834023.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-511327.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-377383.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-672730.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-149209.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-516714.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-657983.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-564316.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-750544.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-142679.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-395815.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-506086.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-370953.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8885-791314.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-523164.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-598479.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-140548.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-175652.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-848763.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-292468.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-604778.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-576751.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-957986.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-346676.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-747630.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-313411.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-792703.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-504206.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-682747.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-254766.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-932607.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-851759.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-421138.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-230074.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-551801.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-334529.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-798273.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-720514.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-742300.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-228713.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-332955.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-393143.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-516782.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-763887.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-609070.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-633792.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-912152.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-973310.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-597159.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-745807.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-953984.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-677554.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-656777.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-481436.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8926-709912.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-135634.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-646512.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-866730.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8930-279981.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-442971.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-730913.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-259032.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-865900.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-217511.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-461842.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-726906.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-172178.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-872813.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-102007.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-612930.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-430633.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-469552.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-581769.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-986001.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-232979.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-641446.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-943580.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-132212.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-845233.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-879393.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-238003.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-256195.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-737160.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-542397.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8956-326325.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8957-100981.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-691757.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-557142.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-856019.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-978015.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-624779.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-560886.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-715758.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-354988.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-789413.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-186846.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8968-432932.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-404055.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-215307.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-426680.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-254778.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-255045.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-216119.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-972601.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-404549.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-895975.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-448753.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-240176.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-189623.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-606621.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-265939.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-400403.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-556114.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-222770.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-814282.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8987-834946.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8988-794901.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-601035.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-659913.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-957489.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-884053.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+8993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-720072.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+8994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-800388.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-508445.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+8996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-929174.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+8997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-134425.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8998-331709.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+8999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8999-410079.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9000-983758.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9001,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-121034.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9002,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-981965.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9003,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-393926.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9004,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-698017.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9005,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-734308.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9006,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-610943.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9007,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-561825.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9008,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-594602.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9009,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-881102.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9010,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9010-760359.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9011,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-327843.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9012,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-407408.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9013,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9013-745800.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9014,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-511370.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9015,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9015-599302.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9016,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-604580.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9017,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-130607.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9018,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-717507.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9019,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9019-244234.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9020,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-685182.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9021,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-118868.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9022,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9022-738622.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9023,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-396075.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9024,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-826912.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9025,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-816222.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9026,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-355135.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9027,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-159037.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9028,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-103496.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9029,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-586170.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9030,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-714761.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9031,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-577609.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9032,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-633166.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9033,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9033-994044.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9034,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-912727.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9035,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-539623.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9036,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-511448.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9037,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-949363.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9038,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-927335.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9039,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9039-785709.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9040,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-724424.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9041,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9041-434381.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9042,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9042-745816.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9043,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-441844.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9044,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9044-191440.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9045,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-662751.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9046,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9046-110870.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9047,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-611046.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9048,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-329880.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9049,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-396699.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9050,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-192270.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9051,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-280464.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9052,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-301585.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9053,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-228318.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9054,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-638072.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9055,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-434703.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9056,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9056-864781.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9057,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-397167.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9058,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-863957.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9059,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-437432.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9060,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-930878.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9061,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-283209.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9062,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-871019.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9063,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-597713.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9064,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9064-838645.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9065,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-352392.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9066,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-993208.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9067,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-713840.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9068,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-740752.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9069,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9069-109120.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9070,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-266020.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9071,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-225231.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9072,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9072-218229.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9073,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-943962.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9074,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-906608.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9075,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-404683.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9076,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-543692.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9077,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-886694.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9078,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-317261.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9079,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-695364.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9080,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-612459.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9081,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-822103.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9082,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-866036.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9083,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-323316.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9084,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-771761.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9085,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-542377.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9086,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-753023.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9087,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-669374.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9088,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-263049.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9089,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-790955.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9090,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-599363.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9091,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-497366.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9092,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-264016.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9093,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-376451.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9094,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-749467.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9095,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-972294.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9096,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-952195.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9097,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9097-360784.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9098,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9098-735457.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9099,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-163715.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9100,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-383177.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9101,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-826689.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9102,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-855079.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9103,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-115590.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9104,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-379184.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9105,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9105-554434.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9106,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-456996.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9107,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-433696.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9108,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-148312.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9109,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-743816.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9110,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-142843.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9111,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-574733.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9112,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9112-997725.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9113,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9113-456729.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9114,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-421942.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9115,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-532400.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9116,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-309106.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9117,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-908254.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9118,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-645762.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9119,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-270404.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9120,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-847684.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9121,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-546221.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9122,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-827307.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9123,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-759443.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9124,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9124-604112.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9125,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-220916.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9126,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-776900.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9127,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-229646.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9128,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-915992.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9129,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-644348.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9130,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-177399.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9131,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-282141.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9132,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9132-694656.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9133,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9133-535490.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9134,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-375991.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9135,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-553408.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9136,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-997137.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9137,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-556826.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9138,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9138-810120.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9139,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-178396.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9140,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-757206.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9141,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-583829.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9142,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-852112.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9143,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-558929.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9144,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-653720.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9145,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-561604.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9146,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-380769.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9147,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-212716.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9148,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-769167.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9149,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-433578.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9150,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-234329.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9151,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-703704.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9152,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-405033.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9153,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-219096.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9154,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9154-759466.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9155,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-624890.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9156,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-647994.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9157,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-877873.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9158,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-753621.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9159,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-600266.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9160,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-971324.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9161,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-739955.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9162,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-999392.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9163,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-659147.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9164,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-216681.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9165,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-583851.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9166,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-718510.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9167,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-999607.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9168,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-473346.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9169,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-340533.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9170,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-248540.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9171,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-502721.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9172,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-926062.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9173,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-523862.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9174,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-622001.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9175,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-199455.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9176,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-883133.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9177,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-688431.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9178,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-992560.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9179,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-822030.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9180,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-319537.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9181,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-592397.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9182,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-796093.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9183,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-853262.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9184,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-887716.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9185,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-385525.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9186,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9186-405494.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9187,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-956051.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9188,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-801788.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9189,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9189-553688.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9190,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9190-550647.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9191,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-948751.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9192,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-320934.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9193,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-228374.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9194,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-497977.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9195,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-910194.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9196,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-964299.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9197,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-923319.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9198,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-500197.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9199,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-520804.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9200,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-755212.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9201,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-647876.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9202,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-980548.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9203,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-891888.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9204,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-309199.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9205,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-463391.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9206,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-705375.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9207,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-964530.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9208,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-803662.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9209,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-930829.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9210,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9210-703963.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9211,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-233032.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9212,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-113403.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9213,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-360136.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9214,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-154980.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9215,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-289835.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9216,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-889126.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9217,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-843461.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9218,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-411263.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9219,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-344132.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9220,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-874190.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9221,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9221-219883.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9222,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-591400.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9223,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-176506.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9224,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-657051.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9225,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-263204.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9226,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-388703.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9227,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-258878.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9228,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-218054.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9229,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9229-269821.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9230,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-179528.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9231,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-473822.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9232,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-855802.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9233,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9233-798186.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9234,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-677424.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9235,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9235-701629.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9236,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-947896.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9237,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9237-542936.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9238,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-113981.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9239,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-750046.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9240,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-505647.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9241,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-955229.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9242,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-227653.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9243,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-143671.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9244,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-408456.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9245,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-458473.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9246,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-642886.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9247,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-804337.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9248,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-333509.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9249,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-500781.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9250,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-620919.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9251,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-766317.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9252,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-769268.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9253,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9253-275971.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9254,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-621676.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9255,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-861889.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9256,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-519618.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9257,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-574366.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9258,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9258-210789.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9259,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-145427.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9260,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-925733.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9261,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-411500.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9262,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9262-361301.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9263,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-195132.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9264,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-489451.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9265,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-949669.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9266,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9266-491057.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9267,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-971472.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9268,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-512868.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9269,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-701052.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9270,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-507117.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9271,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-283449.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9272,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-470029.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9273,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-947713.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9274,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-586818.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9275,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-917775.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9276,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9276-898356.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9277,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-496507.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9278,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-524377.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9279,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-874427.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9280,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-944080.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9281,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-995185.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9282,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9282-442598.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9283,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-707892.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9284,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-918284.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9285,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-245672.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9286,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-440364.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9287,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-441896.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9288,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-258304.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9289,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-891837.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9290,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-357173.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9291,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-836224.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9292,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9292-744072.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9293,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9293-499149.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9294,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-606694.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9295,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-699329.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9296,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-542470.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9297,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-675241.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9298,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-956147.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9299,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-527434.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9300,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9300-985415.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9301,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-484471.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9302,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-764815.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9303,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-873752.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9304,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-920144.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9305,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-808344.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9306,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-563804.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9307,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-347714.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9308,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-360635.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9309,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-215307.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9310,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-921155.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9311,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-271966.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9312,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-761311.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9313,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-898228.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9314,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-632168.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9315,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9315-587551.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9316,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9316-226958.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9317,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9317-123310.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9318,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-341976.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9319,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9319-843193.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9320,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-434937.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9321,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-622016.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9322,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-708188.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9323,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-219441.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9324,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-400291.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9325,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-645124.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9326,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-235316.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9327,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-187865.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9328,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9328-498277.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9329,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-135860.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9330,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-882549.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9331,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-939578.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9332,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-306823.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9333,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-258713.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9334,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-122465.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9335,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-139168.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9336,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-226870.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9337,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-489302.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9338,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-414282.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9339,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9339-354912.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9340,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-993045.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9341,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-838857.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9342,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-593991.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9343,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-279682.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9344,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-326788.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9345,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-567834.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9346,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-650417.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9347,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9347-780765.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9348,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-459635.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9349,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-398223.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9350,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9350-225635.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9351,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-680322.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9352,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-999424.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9353,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-856139.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9354,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9354-517933.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9355,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-402463.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9356,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-170403.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9357,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-432078.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9358,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9358-803701.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9359,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-974884.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9360,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-794881.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9361,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-204979.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9362,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-509477.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9363,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-877876.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9364,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-744157.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9365,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9365-629340.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9366,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9366-356591.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9367,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-395582.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9368,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9368-787549.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9369,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-536818.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9370,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-841793.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9371,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-195324.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9372,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-973488.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9373,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-430622.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9374,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-699520.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9375,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-532429.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9376,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-489544.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9377,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-527518.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9378,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-424278.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9379,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-882292.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9380,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-122978.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9381,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-286433.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9382,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-459237.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9383,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9383-291261.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9384,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-886539.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9385,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-355611.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9386,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-791395.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9387,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-464139.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9388,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-670677.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9389,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-212009.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9390,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-493462.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9391,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-532142.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9392,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-637282.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9393,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-103742.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9394,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-380035.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9395,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9395-386508.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9396,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-314309.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9397,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-970990.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9398,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-539282.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9399,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-606832.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9400,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-636986.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9401,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-788001.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9402,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-983520.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9403,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-104434.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9404,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-628300.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9405,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-190296.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9406,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-371896.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9407,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-430867.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9408,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-147563.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9409,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-485150.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9410,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-282353.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9411,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-353560.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9412,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-677421.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9413,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-430009.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9414,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-870145.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9415,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-632962.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9416,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-842723.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9417,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-458167.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9418,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-467531.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9419,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-413203.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9420,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-529255.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9421,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-719010.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9422,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-807515.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9423,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9423-992234.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9424,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-808676.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9425,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-837696.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9426,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9426-968234.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9427,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9427-242656.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9428,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9428-487757.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9429,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-737925.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9430,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-900359.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9431,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-916691.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9432,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-301392.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9433,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9433-631088.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9434,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-246306.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9435,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9435-887470.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9436,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-338344.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9437,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-278395.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9438,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-865784.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9439,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-897347.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9440,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-596975.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9441,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-961337.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9442,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-719716.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9443,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9443-995485.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9444,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9444-216869.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9445,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-343802.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9446,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-789060.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9447,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-524555.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9448,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-455934.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9449,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-702499.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9450,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-212125.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9451,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9451-204339.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9452,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-974950.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9453,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-890007.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9454,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-413568.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9455,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-527950.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9456,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-458070.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9457,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-788665.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9458,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-774341.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9459,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-827027.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9460,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9460-909632.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9461,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9461-299114.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9462,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-826406.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9463,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-313505.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9464,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9464-579488.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9465,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-201905.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9466,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9466-997073.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9467,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-789475.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9468,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-501862.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9469,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-590457.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9470,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-730339.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9471,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9471-498780.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9472,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-905732.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9473,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-379361.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9474,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9474-304502.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9475,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-338956.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9476,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-926008.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9477,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-578592.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9478,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-514538.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9479,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-260849.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9480,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-850811.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9481,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-261867.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9482,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-128101.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9483,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-735010.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9484,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-975963.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9485,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9485-521939.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9486,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9486-274716.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9487,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-652505.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9488,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-606814.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9489,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-618507.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9490,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9490-148666.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9491,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9491-767197.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9492,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-536752.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9493,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-972208.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9494,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9494-806026.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9495,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-210219.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9496,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-741825.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9497,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-384767.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9498,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-119785.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9499,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-729912.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9500,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-418252.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9501,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-151666.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9502,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9502-630750.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9503,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-415385.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9504,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9504-188578.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9505,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-472477.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9506,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9506-554495.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9507,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-979645.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9508,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9508-107184.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9509,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9509-274069.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9510,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-756084.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9511,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9511-968016.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9512,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-188018.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9513,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-187070.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9514,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9514-411640.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9515,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9515-744645.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9516,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-269717.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9517,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-250942.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9518,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9518-830890.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9519,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-301781.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9520,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9520-288001.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9521,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-747611.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9522,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-881103.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9523,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-507244.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9524,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-637705.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9525,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-241307.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9526,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-290262.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9527,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-752382.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9528,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-898013.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9529,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-511180.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9530,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-855078.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9531,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-139143.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9532,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-862612.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9533,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-243906.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9534,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-219746.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9535,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-152491.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9536,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-946293.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9537,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-380834.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9538,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-614227.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9539,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-647178.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9540,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-979687.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9541,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-186802.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9542,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-881715.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9543,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-499413.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9544,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-623228.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9545,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-967536.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9546,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-662323.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9547,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-652596.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9548,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-223308.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9549,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-714777.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9550,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-865271.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9551,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9551-861137.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9552,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-577437.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9553,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-985151.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9554,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-326295.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9555,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-791094.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9556,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-810385.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9557,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-521999.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9558,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-343932.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9559,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-812151.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9560,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-961747.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9561,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-300399.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9562,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-392282.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9563,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-201827.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9564,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-443483.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9565,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-165265.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9566,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-795738.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9567,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-949686.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9568,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9568-697741.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9569,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9569-820763.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9570,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-994824.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9571,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-117851.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9572,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-421037.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9573,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-664564.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9574,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-631789.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9575,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-483951.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9576,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-748158.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9577,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-437725.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9578,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-241105.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9579,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-138142.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9580,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-668688.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9581,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-400415.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9582,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-593219.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9583,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-124029.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9584,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-302777.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9585,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9585-173935.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9586,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-968472.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9587,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9587-609719.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9588,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9588-279087.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9589,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-266044.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9590,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-398486.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9591,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-282724.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9592,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-581045.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9593,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9593-557284.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9594,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-233679.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9595,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-437149.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9596,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9596-872802.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9597,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-974144.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9598,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9598-578916.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9599,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9599-808572.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9600,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9600-686967.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9601,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-977113.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9602,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-796688.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9603,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-432353.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9604,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-694891.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9605,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-715124.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9606,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-833268.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9607,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-731719.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9608,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9608-399356.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9609,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-320321.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9610,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-831861.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9611,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-540377.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9612,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-491207.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9613,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9613-756424.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9614,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9614-227621.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9615,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-131635.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9616,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-804300.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9617,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-237714.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9618,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-691300.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9619,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-910109.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9620,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-655830.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9621,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-649826.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9622,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-835815.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9623,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-533064.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9624,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-928036.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9625,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9625-744186.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9626,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-114036.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9627,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9627-215787.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9628,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-168346.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9629,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-743276.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9630,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9630-540794.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9631,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-750025.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9632,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9632-790023.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9633,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-774311.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9634,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-613001.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9635,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-221042.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9636,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-944905.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9637,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9637-529494.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9638,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-310874.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9639,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9639-133175.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9640,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-321070.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9641,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-475947.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9642,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-802193.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9643,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-496188.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9644,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-102880.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9645,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9645-922660.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9646,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9646-715436.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9647,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-644197.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9648,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-163647.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9649,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-545428.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9650,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9650-987341.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9651,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-212693.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9652,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-134854.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9653,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-822660.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9654,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-730479.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9655,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-356346.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9656,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-446637.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9657,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-708138.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9658,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-715819.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9659,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-212913.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9660,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-199350.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9661,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-354532.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9662,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-639752.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9663,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-386001.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9664,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-456932.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9665,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-430175.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9666,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-775076.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9667,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-492332.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9668,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-895596.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9669,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-227288.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9670,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-648482.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9671,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-671921.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9672,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-843762.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9673,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-902932.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9674,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-820559.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9675,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-991908.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9676,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-879590.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9677,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9677-135679.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9678,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-253536.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9679,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-962687.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9680,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-700940.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9681,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-994391.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9682,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-835981.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9683,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-267235.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9684,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9684-956272.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9685,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9685-669618.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9686,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9686-859884.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9687,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-774002.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9688,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-379406.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9689,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-947848.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9690,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-100302.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9691,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-660196.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9692,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-441318.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9693,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-142480.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9694,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-307780.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9695,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-795459.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9696,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-102270.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9697,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-172837.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9698,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-456545.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9699,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-359427.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9700,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-459736.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9701,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9701-456531.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9702,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-404994.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9703,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9703-417055.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9704,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-628572.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9705,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9705-230398.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9706,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-786751.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9707,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-621206.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9708,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-933603.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9709,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-311891.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9710,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9710-389707.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9711,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-884051.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9712,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-475317.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9713,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-210459.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9714,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-311140.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9715,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-956781.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9716,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9716-824375.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9717,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9717-210491.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9718,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-292252.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9719,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-104044.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9720,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-821848.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9721,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-703739.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9722,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-633308.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9723,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-625094.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9724,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-628519.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9725,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-989061.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9726,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-834854.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9727,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-542397.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9728,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9728-981402.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9729,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-571560.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9730,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-875310.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9731,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-870546.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9732,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-223508.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9733,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-928077.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9734,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-382608.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9735,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-682121.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9736,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-331896.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9737,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-983325.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9738,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-730284.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9739,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-277373.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9740,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-146138.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9741,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-768830.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9742,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-387436.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9743,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-586448.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9744,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-383603.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9745,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-425266.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9746,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-175426.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9747,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9747-773843.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9748,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9748-999117.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9749,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-526734.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9750,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-747369.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9751,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-590321.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9752,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-609259.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9753,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-158331.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9754,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-523784.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9755,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-713658.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9756,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9756-680158.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9757,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9757-371598.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9758,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-197250.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9759,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9759-183672.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9760,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-803366.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9761,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-248951.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9762,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-624327.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9763,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-283164.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9764,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-879246.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9765,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-410787.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9766,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9766-952919.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9767,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-184301.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9768,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-400170.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9769,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-978459.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9770,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-630013.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9771,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-747970.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9772,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-255241.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9773,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9773-852740.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9774,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-233863.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9775,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-546770.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9776,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-818317.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9777,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9777-286897.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9778,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-490787.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9779,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-589965.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9780,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-426571.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9781,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-810782.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9782,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-239863.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9783,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-670788.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9784,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9784-678529.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9785,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-897478.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9786,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-823143.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9787,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-722075.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9788,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-914600.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9789,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9789-645895.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9790,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-964187.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9791,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9791-367836.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9792,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9792-627944.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9793,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9793-275448.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9794,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-945357.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9795,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-127902.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9796,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9796-116123.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9797,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9797-522582.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9798,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-394007.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9799,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-703932.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9800,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9800-399306.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9801,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-528718.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9802,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-104323.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9803,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-117409.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9804,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-995377.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9805,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-733263.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9806,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-825236.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9807,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-256984.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9808,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-900845.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9809,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-314266.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9810,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-536831.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9811,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-450189.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9812,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-376843.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9813,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9813-274277.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9814,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-106504.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9815,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9815-550590.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9816,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-705636.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9817,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-989283.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9818,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-256493.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9819,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-385079.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9820,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-185251.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9821,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-901409.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9822,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-275595.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9823,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-613764.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9824,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-681090.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9825,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-800460.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9826,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-853578.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9827,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-717039.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9828,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-605234.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9829,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-224447.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9830,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-240625.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9831,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-300788.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9832,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-898763.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9833,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-511181.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9834,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-172308.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9835,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-647013.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9836,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-569338.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9837,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-884451.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9838,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-801838.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9839,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-989427.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9840,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-557727.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9841,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9841-297570.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9842,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-404594.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9843,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-811530.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9844,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-419937.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9845,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-319029.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9846,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-452045.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9847,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-902885.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9848,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-959750.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9849,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-493618.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9850,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-601037.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9851,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-740563.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9852,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-251809.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9853,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9853-458083.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9854,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-100674.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9855,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-192211.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9856,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-213735.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9857,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-179143.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9858,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-146254.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9859,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-898000.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9860,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-518174.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9861,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-509491.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9862,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-482758.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9863,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-903908.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9864,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-554488.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9865,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-830821.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9866,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9866-789090.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9867,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-945299.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9868,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9868-884530.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9869,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-691853.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9870,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-775380.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9871,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-868403.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9872,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9872-296685.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9873,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-213419.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9874,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-267611.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9875,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-343738.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9876,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-265678.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9877,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9877-238937.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9878,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-703055.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9879,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-752480.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9880,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-911595.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9881,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-656122.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9882,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9882-256714.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9883,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-422890.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9884,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-770298.",travel entity-extraction benchmark long-context bilingual,detailed,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9885,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-510643.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9886,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-990181.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9887,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-927380.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9888,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-150387.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9889,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-823869.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9890,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9890-924467.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9891,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-833376.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9892,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-177195.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9893,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-132053.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9894,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-287398.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9895,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9895-461858.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9896,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-786186.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9897,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-376473.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9898,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-752092.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9899,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-132664.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9900,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9900-348681.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9901,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-384502.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9902,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9902-669830.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9903,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-976307.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9904,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-267519.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9905,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9905-296471.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9906,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-959763.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9907,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9907-198099.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9908,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9908-177208.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9909,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-237518.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9910,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-197220.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9911,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9911-172329.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9912,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-519835.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9913,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-960839.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9914,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-915579.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9915,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-526980.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9916,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-936119.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9917,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-303934.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9918,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-286317.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9919,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-897432.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9920,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-374859.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9921,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-245055.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9922,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9922-909363.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9923,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-637475.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9924,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-865097.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9925,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-368331.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9926,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-562064.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9927,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-142824.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9928,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-444240.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9929,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-314266.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9930,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-712982.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9931,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9931-316934.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9932,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-971349.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9933,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-229517.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9934,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-832619.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9935,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-955758.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9936,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-937113.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9937,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-448840.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9938,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-861646.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9939,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-755047.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9940,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-445879.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9941,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-572334.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9942,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-882777.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9943,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-515754.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9944,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-749763.",travel entity-extraction benchmark long-context bilingual,cinematic,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9945,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-200380.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9946,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-162132.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9947,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-327178.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9948,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-488032.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9949,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-916587.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9950,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-202927.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9951,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-871364.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9952,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-145942.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9953,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-437076.",travel entity-extraction benchmark long-context bilingual,production-ready,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9954,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9954-920340.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9955,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-328677.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9956,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9956-618009.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9957,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-621021.",travel entity-extraction benchmark long-context bilingual,clean,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9958,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-377921.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9959,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-839373.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9960,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-809458.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9961,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-378563.",travel entity-extraction benchmark long-context bilingual,production-ready,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9962,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-113744.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9963,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-997526.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9964,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-675245.",travel entity-extraction benchmark long-context bilingual,stylized,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9965,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-654249.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9966,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-817359.",travel entity-extraction benchmark long-context bilingual,clean,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9967,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-558656.",travel entity-extraction benchmark long-context bilingual,detailed,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9968,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-263737.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9969,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-414261.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9970,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-387739.",travel entity-extraction benchmark long-context bilingual,detailed,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9971,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-599791.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9972,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-842666.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9973,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-357880.",travel entity-extraction benchmark long-context bilingual,stylized,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9974,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-604618.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9975,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-943843.",travel entity-extraction benchmark long-context bilingual,clean,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9976,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-170103.",travel entity-extraction benchmark long-context bilingual,detailed,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9977,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-829416.",travel entity-extraction benchmark long-context bilingual,minimal,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9978,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-432860.",travel entity-extraction benchmark long-context bilingual,minimal,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9979,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-481906.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9980,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-909514.",travel entity-extraction benchmark long-context bilingual,detailed,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9981,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-795952.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9982,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-525578.",travel entity-extraction benchmark long-context bilingual,cinematic,benchmark-grade,2026-02-22T16:59:27.812322Z,1.0000,ok
+9983,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9983-652152.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9984,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9984-513207.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9985,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9985-510181.",travel entity-extraction benchmark long-context bilingual,cinematic,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9986,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9986-980954.",travel entity-extraction benchmark long-context bilingual,production-ready,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9987,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9987-354041.",travel entity-extraction benchmark long-context bilingual,cinematic,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9988,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9988-969663.",travel entity-extraction benchmark long-context bilingual,stylized,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9989,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9989-417151.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9990,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9990-886264.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9991,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9991-870540.",travel entity-extraction benchmark long-context bilingual,minimal,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9992,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9992-256785.",travel entity-extraction benchmark long-context bilingual,production-ready,high-precision,2026-02-22T16:59:27.812322Z,1.0000,ok
+9993,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9993-607704.",travel entity-extraction benchmark long-context bilingual,clean,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok
+9994,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9994-522082.",travel entity-extraction benchmark long-context bilingual,stylized,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9995,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9995-613279.",travel entity-extraction benchmark long-context bilingual,minimal,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9996,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9996-542958.",travel entity-extraction benchmark long-context bilingual,stylized,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9997,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9997-985858.",travel entity-extraction benchmark long-context bilingual,minimal,consistent,2026-02-22T16:59:27.812322Z,1.0000,ok
+9998,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9998-994624.",travel entity-extraction benchmark long-context bilingual,clean,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+9999,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: entity-extraction-long-context; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9999-420765.",travel entity-extraction benchmark long-context bilingual,production-ready,premium,2026-02-22T16:59:27.812322Z,1.0000,ok
+10000,"Theme: travel entity-extraction benchmark long-context bilingual; Domain: travel-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 10000-891500.",travel entity-extraction benchmark long-context bilingual,cinematic,commercial,2026-02-22T16:59:27.812322Z,1.0000,ok