diff --git a/offers/logistics-entity-extraction-regression-suite-bilingual-20260222_234831/logistics-entity-extraction-regression-suite-bilingual-46001-20260222234802_enriched.csv b/offers/logistics-entity-extraction-regression-suite-bilingual-20260222_234831/logistics-entity-extraction-regression-suite-bilingual-46001-20260222234802_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..24bad886b5008f3448f88a5cf3e4545801766dbc
--- /dev/null
+++ b/offers/logistics-entity-extraction-regression-suite-bilingual-20260222_234831/logistics-entity-extraction-regression-suite-bilingual-46001-20260222234802_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
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+24,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 24-465982.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+56,"Theme: logistics entity-extraction regression-suite qa 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: 56-447656.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+61,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 61-790272.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+119,"Theme: logistics entity-extraction regression-suite qa 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: 119-142147.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+123,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 123-394267.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+124,"Theme: logistics entity-extraction regression-suite qa 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: 124-296326.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+126,"Theme: logistics entity-extraction regression-suite qa 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: 126-435461.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+684,"Theme: logistics entity-extraction regression-suite qa 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: 684-516829.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+688,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 688-933720.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+689,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 689-237609.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+711,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 711-427854.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+741,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 741-708451.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+750,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 750-734945.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+751,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 751-217788.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+772,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 772-502673.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+773,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 773-436580.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+774,"Theme: logistics entity-extraction regression-suite qa 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: 774-158309.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+775,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 775-683600.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+777,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 777-706754.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+781,"Theme: logistics entity-extraction regression-suite qa 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: 781-236027.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+785,"Theme: logistics entity-extraction regression-suite qa 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: 785-759743.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+793,"Theme: logistics entity-extraction regression-suite qa 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: 793-144543.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+801,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 801-881281.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+803,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 803-792575.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+806,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 806-705734.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+807,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 807-334878.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+808,"Theme: logistics entity-extraction regression-suite qa 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: 808-456211.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+809,"Theme: logistics entity-extraction regression-suite qa 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: 809-776752.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+811,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 811-123388.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+812,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 812-959418.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+813,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 813-497223.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+814,"Theme: logistics entity-extraction regression-suite qa 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: 814-752878.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+900,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 900-207981.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+909,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 909-160842.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+935,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 935-501073.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 936-812197.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+937,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 937-178075.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+997,"Theme: logistics entity-extraction regression-suite qa 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: 997-483877.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+998,"Theme: logistics entity-extraction regression-suite qa 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: 998-175699.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+999,"Theme: logistics entity-extraction regression-suite qa 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: 999-413467.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1425,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-656151.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1429,"Theme: logistics entity-extraction regression-suite qa 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: 1429-669616.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1430,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; 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: 1430-313811.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1431,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-869080.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1432,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 1432-946077.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1492,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-938917.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1555,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-473284.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1677,"Theme: logistics entity-extraction regression-suite qa 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: 1677-877551.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1736,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-903329.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1739,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-675012.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1740,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-705548.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1801,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-770147.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1826,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 1826-531817.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1832,"Theme: logistics entity-extraction regression-suite qa 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: 1832-121770.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1861,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-534840.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1862,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-341546.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1864,"Theme: logistics entity-extraction regression-suite qa 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: 1864-582451.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1927,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-301173.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1928,"Theme: logistics entity-extraction regression-suite qa 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: 1928-690655.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1931,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1931-211533.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1932,"Theme: logistics entity-extraction regression-suite qa 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: 1932-328456.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1935,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-434894.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-522671.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1937,"Theme: logistics entity-extraction regression-suite qa 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: 1937-859707.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-973502.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+1941,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-642401.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1942,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-317618.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1943,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1943-416065.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1944,"Theme: logistics entity-extraction regression-suite qa 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: 1944-313614.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1945,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-471356.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1946,"Theme: logistics entity-extraction regression-suite qa 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: 1946-732387.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1947,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 1947-238541.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1948,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 1948-166723.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1949,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 1949-574669.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1950,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 1950-836589.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1951,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-528662.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1952,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1952-697861.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1953,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-382957.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1954,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 1954-857615.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1955,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-742793.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1956,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-872183.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1957,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-314861.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1958,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-992426.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1959,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-829818.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1960,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-103989.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1961,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-697534.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1962,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-451425.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1963,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-959038.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1964,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-160806.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1965,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-256721.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1966,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-275864.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1967,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1967-783762.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1968,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-435700.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1969,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-840080.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1970,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-618231.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1971,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-971387.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1972,"Theme: logistics entity-extraction regression-suite qa 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: 1972-985870.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1973,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-999379.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1974,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-891247.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1975,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-141433.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1976,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-255832.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1977,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 1977-878913.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1978,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-836683.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1979,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 1979-422825.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1980,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-368061.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1981,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1981-687168.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1982,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1982-258620.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1983,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-890922.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1984,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-121548.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1985,"Theme: logistics entity-extraction regression-suite qa 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: 1985-787120.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1986,"Theme: logistics entity-extraction regression-suite qa 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: 1986-324891.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1987,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-845335.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1988,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1988-758638.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1989,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-505259.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1990,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-816350.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1991,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-318436.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1992,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-302414.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+1993,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-891413.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+1994,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-717865.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1995,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 1995-739586.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1996,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-538181.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+1997,"Theme: logistics entity-extraction regression-suite qa 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: 1997-214537.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+1998,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 1998-328350.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+1999,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-346061.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2000,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-647725.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2001,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-636059.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2002,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-743494.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2003,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-667495.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2004,"Theme: logistics entity-extraction regression-suite qa 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: 2004-899828.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+2005,"Theme: logistics entity-extraction regression-suite qa 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: 2005-661831.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2006,"Theme: logistics entity-extraction regression-suite qa 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: 2006-435345.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2007,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-492104.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2008,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-859578.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2009,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 2009-992585.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+2010,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-748116.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2011,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-468716.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2012,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-164354.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2013,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-972092.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2014,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 2014-823579.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2015,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-861818.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2016,"Theme: logistics entity-extraction regression-suite qa 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: 2016-852106.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2017,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-424863.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2018,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-388232.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2019,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-170186.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2020,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-325179.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2021,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 2021-398109.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2022,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-844878.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2023,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-792989.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2024,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-137541.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2025,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-519227.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+2026,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-663365.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2027,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 2027-149715.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2028,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-592493.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2029,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 2029-314828.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2030,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-110257.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2031,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 2031-960331.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2032,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2032-848894.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+2033,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 2033-473607.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2034,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 2034-772783.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2035,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 2035-310166.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2036,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-562020.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2037,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-260484.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2038,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-373642.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2039,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 2039-342007.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2040,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-852194.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2041,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2041-111519.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2042,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2042-204602.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2043,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-183030.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2044,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 2044-674917.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2045,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-982739.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2046,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-501010.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2047,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 2047-137741.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2048,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2048-306633.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2049,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-397838.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2050,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-579102.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+2051,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2051-123349.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2360,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 2360-419317.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2729,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 2729-221824.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2732,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 2732-616219.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2733,"Theme: logistics entity-extraction regression-suite qa 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: 2733-352520.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2919,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 2919-609028.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2920,"Theme: logistics entity-extraction regression-suite qa 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: 2920-471176.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-518516.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2941,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-742303.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2942,"Theme: logistics entity-extraction regression-suite qa 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: 2942-585861.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2943,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 2943-666647.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+2944,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2944-995615.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2945,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-954974.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+2946,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2946-263005.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2948,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2948-213802.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+2949,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-163453.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2951,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-542995.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2952,"Theme: logistics entity-extraction regression-suite qa 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: 2952-677586.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2962,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 2962-492278.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2966,"Theme: logistics entity-extraction regression-suite qa 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: 2966-676075.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2972,"Theme: logistics entity-extraction regression-suite qa 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: 2972-670422.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+2975,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-842689.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2976,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-668373.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2977,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-136757.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2978,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-416005.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2979,"Theme: logistics entity-extraction regression-suite qa 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: 2979-193477.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+2980,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-785899.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+2981,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-869702.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3104,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-820388.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3408,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3408-786601.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3411,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 3411-629310.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3412,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3412-286464.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3413,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-422766.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3414,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 3414-950896.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3437,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-517394.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3442,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-925391.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3471,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-820159.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3472,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-783535.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3475,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-670442.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3529,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-323728.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3536,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3536-351838.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3537,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-988791.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3538,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-288985.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3697,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-323192.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3698,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-155541.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3711,"Theme: logistics entity-extraction regression-suite qa 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: 3711-636908.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3713,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-157241.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3714,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 3714-209266.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3717,"Theme: logistics entity-extraction regression-suite qa 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: 3717-936423.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3718,"Theme: logistics entity-extraction regression-suite qa 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: 3718-447673.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3719,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-748260.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3720,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-672461.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3721,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-270726.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3722,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 3722-437310.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3723,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-733388.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3724,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-809179.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3725,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-124269.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3778,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-929789.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3781,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-447527.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3782,"Theme: logistics entity-extraction regression-suite qa 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: 3782-571121.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3785,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-950929.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3786,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-752676.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3817,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3817-543971.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3819,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3819-149311.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3843,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-934130.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3846,"Theme: logistics entity-extraction regression-suite qa 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: 3846-473479.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3847,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3847-313845.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3848,"Theme: logistics entity-extraction regression-suite qa 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: 3848-356625.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3908,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-324131.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3909,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 3909-582458.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3910,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-375626.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3911,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-673836.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3918,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-362129.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3920,"Theme: logistics entity-extraction regression-suite qa 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: 3920-392016.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3922,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-229496.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3923,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3923-336212.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+3926,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3926-504816.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3927,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 3927-369379.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3928,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3928-458916.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3929,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-669171.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3930,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-974300.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3931,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3931-492365.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3932,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-504090.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3933,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-111474.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3934,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3934-862434.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3935,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-210084.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 3936-736572.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3937,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 3937-664875.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3938,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3938-111261.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-841080.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3940,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-176093.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3941,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3941-684575.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3942,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3942-764433.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3943,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-342844.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3944,"Theme: logistics entity-extraction regression-suite qa 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: 3944-729981.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3945,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-995423.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3946,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3946-411474.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3947,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-283916.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3948,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-503506.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3949,"Theme: logistics entity-extraction regression-suite qa 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: 3949-157228.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3950,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-334707.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3951,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3951-468723.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3952,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-592224.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3953,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-250597.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3954,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-730150.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3955,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-998070.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3956,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 3956-686556.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3957,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-511365.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3958,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 3958-916076.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3959,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-388713.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3960,"Theme: logistics entity-extraction regression-suite qa 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: 3960-561085.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3961,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-178906.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3962,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-419022.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3963,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-130983.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3964,"Theme: logistics entity-extraction regression-suite qa 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: 3964-639330.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+3965,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-576887.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3966,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 3966-959840.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3967,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-870801.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3968,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-785813.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+3969,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-926442.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3970,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-391648.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+3971,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-632028.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+3972,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-988743.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+3973,"Theme: logistics entity-extraction regression-suite qa 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: 3973-283440.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4059,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-445495.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4060,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-232799.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4062,"Theme: logistics entity-extraction regression-suite qa 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: 4062-520174.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+4063,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4063-276648.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+4064,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-877078.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4065,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-839541.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+4066,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-161401.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4067,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4067-997583.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4069,"Theme: logistics entity-extraction regression-suite qa 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: 4069-892078.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4070,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-427031.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+4071,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-965374.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4072,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-347280.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4073,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4073-913619.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4074,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-560886.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4075,"Theme: logistics entity-extraction regression-suite qa 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: 4075-927102.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4076,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-106065.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4077,"Theme: logistics entity-extraction regression-suite qa 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: 4077-778780.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4079,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-936788.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4080,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-352644.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4081,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-127629.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4083,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 4083-447925.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+4084,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-703547.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+4085,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 4085-594045.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4086,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4086-126381.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4087,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-427091.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4088,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-602388.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4089,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-609939.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+4090,"Theme: logistics entity-extraction regression-suite qa 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: 4090-892475.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+4091,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-456970.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4092,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-574742.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4093,"Theme: logistics entity-extraction regression-suite qa 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: 4093-536881.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4094,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-286786.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4095,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-395989.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4096,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-473166.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4097,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-471513.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4219,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-209232.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4528,"Theme: logistics entity-extraction regression-suite qa 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: 4528-284707.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4529,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-441256.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4774,"Theme: logistics entity-extraction regression-suite qa 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: 4774-672965.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4776,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4776-687837.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+4777,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-247549.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4837,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4837-615428.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4838,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-464664.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4839,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-285644.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4900,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-769823.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+4960,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 4960-834741.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+4961,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-435473.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+4962,"Theme: logistics entity-extraction regression-suite qa 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: 4962-630765.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5084,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-501600.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+5085,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-856431.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+5086,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-917826.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5207,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 5207-468195.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+5208,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-472551.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5456,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; 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: 5456-922394.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5518,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-822627.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5581,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 5581-686815.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5612,"Theme: logistics entity-extraction regression-suite qa 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: 5612-737845.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+5613,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5613-294157.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5614,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-933869.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5619,"Theme: logistics entity-extraction regression-suite qa 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: 5619-647277.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5623,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-840343.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5624,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-374130.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5628,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-563965.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5629,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-618167.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5631,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-649921.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5635,"Theme: logistics entity-extraction regression-suite qa 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: 5635-487420.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5636,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-488646.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5637,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-162138.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5639,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 5639-166723.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+5640,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-964270.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+5641,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-960216.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+5642,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-624158.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+5643,"Theme: logistics entity-extraction regression-suite qa 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: 5643-987989.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5703,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-906313.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5705,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-632387.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5721,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-649042.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5728,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-997863.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5731,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-265570.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5735,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 5735-769230.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5737,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-308559.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5739,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-206573.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5748,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-244138.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5760,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 5760-553221.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5764,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-877244.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+5765,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-726906.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5824,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-742429.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5826,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-145150.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5828,"Theme: logistics entity-extraction regression-suite qa 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: 5828-400146.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5887,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-107463.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5889,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-985179.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5915,"Theme: logistics entity-extraction regression-suite qa 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: 5915-450462.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5919,"Theme: logistics entity-extraction regression-suite qa 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: 5919-118750.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5921,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-109865.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+5922,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-345807.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5924,"Theme: logistics entity-extraction regression-suite qa 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: 5924-330018.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5926,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 5926-241405.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5928,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-359779.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5931,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-324632.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 5936-536307.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5937,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-727944.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+5938,"Theme: logistics entity-extraction regression-suite qa 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: 5938-748540.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+5939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-329782.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+5940,"Theme: logistics entity-extraction regression-suite qa 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: 5940-247997.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5942,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-224339.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+5945,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-512944.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5946,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-710199.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+5947,"Theme: logistics entity-extraction regression-suite qa 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: 5947-561817.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+5948,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-615907.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+5949,"Theme: logistics entity-extraction regression-suite qa 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: 5949-600226.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+5950,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-555970.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+5951,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-479494.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6072,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-563228.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6074,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-821411.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+6075,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-587963.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6323,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-745018.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6480,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 6480-274123.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6501,"Theme: logistics entity-extraction regression-suite qa 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: 6501-502908.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6533,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-770079.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6535,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-103690.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6537,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-779212.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6539,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6539-692326.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6541,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-130351.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+6542,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6542-172606.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+6543,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-341632.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6568,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-890548.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6570,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-457120.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6626,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-524154.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+6627,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 6627-535287.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6816,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-681238.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+6817,"Theme: logistics entity-extraction regression-suite qa 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: 6817-235755.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6838,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-938858.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+6839,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-540519.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+6840,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-596258.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6843,"Theme: logistics entity-extraction regression-suite qa 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: 6843-669959.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6851,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-940678.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6878,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 6878-321153.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+6879,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-286441.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6925,"Theme: logistics entity-extraction regression-suite qa 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: 6925-450567.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+6936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-492620.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+6937,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-815522.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+6938,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-473001.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+6939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-823123.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+6940,"Theme: logistics entity-extraction regression-suite qa 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: 6940-190298.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+6941,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6941-113923.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7002,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-257479.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7003,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-944673.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7026,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-591648.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7027,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-635548.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7028,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-628069.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7029,"Theme: logistics entity-extraction regression-suite qa 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: 7029-824877.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7030,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-888547.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7031,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-279103.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7032,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-859252.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7033,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-855262.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7034,"Theme: logistics entity-extraction regression-suite qa 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: 7034-683196.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7035,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-412936.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7036,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 7036-932692.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7037,"Theme: logistics entity-extraction regression-suite qa 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: 7037-369806.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7038,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-204602.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7039,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-946688.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7042,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-866551.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7043,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-244859.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7044,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-230706.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7046,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-428224.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7060,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-275993.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7061,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-588913.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7062,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-212861.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7063,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-955365.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7064,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-206964.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7065,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-275589.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7066,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-807015.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7098,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-796102.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7112,"Theme: logistics entity-extraction regression-suite qa 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: 7112-222007.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7120,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-508102.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7121,"Theme: logistics entity-extraction regression-suite qa 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: 7121-307430.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7123,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 7123-398094.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7124,"Theme: logistics entity-extraction regression-suite qa 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: 7124-152950.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7125,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 7125-301203.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7126,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 7126-714309.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7127,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-961034.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7128,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-629278.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7246,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 7246-850517.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7251,"Theme: logistics entity-extraction regression-suite qa 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: 7251-666551.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7312,"Theme: logistics entity-extraction regression-suite qa 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: 7312-768719.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7313,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-665447.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7314,"Theme: logistics entity-extraction regression-suite qa 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: 7314-706055.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7339,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 7339-306839.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7340,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 7340-836537.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7347,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-947474.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7373,"Theme: logistics entity-extraction regression-suite qa 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: 7373-386903.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7374,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-111402.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7375,"Theme: logistics entity-extraction regression-suite qa 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: 7375-604685.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7400,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7400-637940.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7402,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-868725.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7403,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-604824.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7426,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-224638.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7429,"Theme: logistics entity-extraction regression-suite qa 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: 7429-399011.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7431,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 7431-900779.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7435,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-618142.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7436,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 7436-941711.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7437,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-781695.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7614,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-591585.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7621,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7621-296851.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7622,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-330633.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+7623,"Theme: logistics entity-extraction regression-suite qa 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: 7623-101777.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7713,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-128786.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7720,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-371660.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7739,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-847398.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7741,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 7741-435639.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7742,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-134426.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7744,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7744-238758.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7745,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7745-796381.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7746,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-252856.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7747,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-898747.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7803,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-876306.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7807,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-813640.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7808,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-603796.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7809,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-482868.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7842,"Theme: logistics entity-extraction regression-suite qa 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: 7842-713490.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7924,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-474293.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7927,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 7927-480693.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7928,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-740281.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7932,"Theme: logistics entity-extraction regression-suite qa 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: 7932-406883.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+7933,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-924744.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7934,"Theme: logistics entity-extraction regression-suite qa 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: 7934-813326.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+7991,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-639961.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+7992,"Theme: logistics entity-extraction regression-suite qa 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: 7992-791521.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+7993,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7993-618098.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7994,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-277410.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+7995,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-604297.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8055,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-281166.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8081,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-693927.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8082,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8082-775693.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8089,"Theme: logistics entity-extraction regression-suite qa 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: 8089-177383.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8091,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-777729.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8099,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8099-443151.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8100,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-561992.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8101,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-721113.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8107,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-735790.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8108,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8108-568065.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8109,"Theme: logistics entity-extraction regression-suite qa 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: 8109-384278.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8110,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-115003.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8111,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-954778.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8112,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-617146.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8113,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-344546.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8114,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-663000.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8115,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8115-184798.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8116,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-776613.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8117,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8117-988334.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8118,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-239248.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8119,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-500685.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8120,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8120-206574.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8145,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-440266.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8169,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-119079.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8179,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-335243.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8181,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-637919.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8198,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-872127.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8199,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-163416.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8202,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-721851.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8203,"Theme: logistics entity-extraction regression-suite qa 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: 8203-126893.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8206,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-940653.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8207,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-834696.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8210,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-146626.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8213,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-290853.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8214,"Theme: logistics entity-extraction regression-suite qa 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: 8214-853329.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8215,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-378476.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8216,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8216-830587.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8219,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-813966.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8221,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-950185.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8222,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8222-693816.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8223,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-941289.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8224,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-298521.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8225,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-392423.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8226,"Theme: logistics entity-extraction regression-suite qa 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: 8226-105044.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8227,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8227-485389.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8228,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-247590.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8229,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-993824.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8230,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8230-543840.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8231,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8231-146175.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8232,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-553030.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8233,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8233-969359.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8234,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-585070.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8235,"Theme: logistics entity-extraction regression-suite qa 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: 8235-829635.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8236,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-341654.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8237,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8237-569008.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8238,"Theme: logistics entity-extraction regression-suite qa 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: 8238-985190.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8239,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-322640.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8240,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8240-939811.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8241,"Theme: logistics entity-extraction regression-suite qa 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: 8241-456864.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8242,"Theme: logistics entity-extraction regression-suite qa 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: 8242-642617.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8243,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-494565.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8302,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8302-119941.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8304,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-378962.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8305,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-841932.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8322,"Theme: logistics entity-extraction regression-suite qa 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: 8322-267826.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8323,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-112191.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8325,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-167863.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8326,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8326-784367.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8327,"Theme: logistics entity-extraction regression-suite qa 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: 8327-835470.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8328,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-435273.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8329,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-717736.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8330,"Theme: logistics entity-extraction regression-suite qa 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: 8330-635942.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8331,"Theme: logistics entity-extraction regression-suite qa 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: 8331-711194.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8332,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-457121.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8333,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-532732.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8336,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-556060.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8337,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-487054.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8339,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8339-316994.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8346,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-718624.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8349,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-766430.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8353,"Theme: logistics entity-extraction regression-suite qa 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: 8353-345008.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8359,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-813655.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8360,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-890706.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8361,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-529782.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8362,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-769074.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8363,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-105842.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8364,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-911051.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8365,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8365-402624.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8366,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8366-358291.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8400,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-844157.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8414,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-304427.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8420,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-243271.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8421,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-471420.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8423,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-104232.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8425,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-114442.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8426,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-373771.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8519,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-498972.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8548,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-233730.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8549,"Theme: logistics entity-extraction regression-suite qa 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: 8549-973790.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8550,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8550-225458.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8611,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-959957.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8612,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-289804.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8613,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-754316.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8634,"Theme: logistics entity-extraction regression-suite qa 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: 8634-564714.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8638,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8638-497879.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8639,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-616355.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8640,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-590883.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8641,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-785381.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8666,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-102616.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8668,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-855880.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8671,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-421336.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8673,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-344881.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8674,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-292840.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8675,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-314077.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8686,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8686-519653.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8693,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8693-187209.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8696,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-940863.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8697,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-262568.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8698,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8698-991939.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8699,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8699-647032.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8700,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-701951.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8701,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8701-964371.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8702,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-773470.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8703,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-928674.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8704,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8704-642016.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8705,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-320908.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8706,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-151878.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8707,"Theme: logistics entity-extraction regression-suite qa 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: 8707-137731.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8708,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8708-455776.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8709,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-630420.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8710,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-672773.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8711,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 8711-968113.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8712,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-323597.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8713,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-277825.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8714,"Theme: logistics entity-extraction regression-suite qa 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: 8714-564907.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8715,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-389274.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8716,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-861963.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8717,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-483695.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8718,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-428521.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8719,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-942558.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8720,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8720-336277.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8721,"Theme: logistics entity-extraction regression-suite qa 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: 8721-666668.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8722,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-510841.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8723,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8723-410448.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8724,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-269527.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8725,"Theme: logistics entity-extraction regression-suite qa 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: 8725-894427.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8726,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8726-162065.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8727,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-277887.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8728,"Theme: logistics entity-extraction regression-suite qa 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: 8728-116753.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8729,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-359509.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8730,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-199959.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8731,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-123947.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8732,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-337202.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8733,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-633415.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8734,"Theme: logistics entity-extraction regression-suite qa 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: 8734-889352.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8735,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-780228.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8736,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8736-954665.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8737,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8737-787642.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8760,"Theme: logistics entity-extraction regression-suite qa 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: 8760-713010.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8761,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-108437.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8762,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-331851.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8764,"Theme: logistics entity-extraction regression-suite qa 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: 8764-580963.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8765,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-431403.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8766,"Theme: logistics entity-extraction regression-suite qa 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: 8766-380405.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8767,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-809331.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8769,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-539406.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8770,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-116020.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8775,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8775-775263.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8792,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-232946.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8795,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8795-885372.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8796,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-999800.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8797,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-276989.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8798,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-143468.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8799,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-853025.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8813,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-520315.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8818,"Theme: logistics entity-extraction regression-suite qa 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: 8818-775072.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8819,"Theme: logistics entity-extraction regression-suite qa 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: 8819-484519.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8820,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-662501.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8821,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-284617.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8822,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-263300.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8823,"Theme: logistics entity-extraction regression-suite qa 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: 8823-691755.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8824,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-769149.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8825,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-197726.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8826,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-211896.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8827,"Theme: logistics entity-extraction regression-suite qa 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: 8827-419323.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8828,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-196833.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8829,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-141782.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8830,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-205526.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8831,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8831-879839.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8832,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8832-515843.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8833,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-822243.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8834,"Theme: logistics entity-extraction regression-suite qa 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: 8834-212103.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8835,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-484881.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8836,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-679280.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8837,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8837-416000.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8838,"Theme: logistics entity-extraction regression-suite qa 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: 8838-419731.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8839,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-154615.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8840,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-678160.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8841,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-634308.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8842,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8842-379441.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8843,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8843-159381.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8844,"Theme: logistics entity-extraction regression-suite qa 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: 8844-424389.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8845,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 8845-152596.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8846,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-247038.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8847,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8847-278524.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8848,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-853356.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8849,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 8849-427926.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8850,"Theme: logistics entity-extraction regression-suite qa 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: 8850-661146.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8851,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-984057.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8852,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-201813.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8853,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-986238.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8854,"Theme: logistics entity-extraction regression-suite qa 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: 8854-853210.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8855,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8855-359139.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8856,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8856-554962.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8857,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; 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: 8857-108149.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8858,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8858-468198.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8859,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-997321.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8860,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8860-318836.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8861,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-145537.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8862,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-903834.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8899,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-772859.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8901,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-847092.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8909,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-967909.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8911,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-985659.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8912,"Theme: logistics entity-extraction regression-suite qa 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: 8912-662368.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8913,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-727263.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8914,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-862656.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8915,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8915-142233.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8916,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-745789.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8917,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-187383.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8918,"Theme: logistics entity-extraction regression-suite qa 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: 8918-529776.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8919,"Theme: logistics entity-extraction regression-suite qa 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: 8919-732847.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8920,"Theme: logistics entity-extraction regression-suite qa 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: 8920-525551.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8921,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-129296.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8922,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-810004.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8923,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-738725.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8934,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-550268.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-920585.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8937,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8937-260224.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8938,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-919576.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 8939-145251.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8940,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-478222.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8941,"Theme: logistics entity-extraction regression-suite qa 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: 8941-205000.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8942,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-733697.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8943,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-211653.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8944,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-570497.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8945,"Theme: logistics entity-extraction regression-suite qa 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: 8945-852576.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8946,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-501370.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8947,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-802771.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8948,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8948-108973.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8949,"Theme: logistics entity-extraction regression-suite qa 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: 8949-619747.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8950,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8950-404391.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8951,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8951-991743.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8952,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-523573.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8953,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 8953-333894.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8954,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 8954-869161.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8955,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-444268.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8956,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8956-816990.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8957,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 8957-333683.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8958,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-674628.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8959,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-538828.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8960,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: quality-check; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-488721.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8961,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-655437.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8962,"Theme: logistics entity-extraction regression-suite qa 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: 8962-276935.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8963,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-342269.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8964,"Theme: logistics entity-extraction regression-suite qa 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: 8964-599936.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8965,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-698221.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8966,"Theme: logistics entity-extraction regression-suite qa 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: 8966-326836.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+8967,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-857794.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8969,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-329566.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8970,"Theme: logistics entity-extraction regression-suite qa 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: 8970-507279.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8971,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-629983.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8972,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-496063.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8973,"Theme: logistics entity-extraction regression-suite qa 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: 8973-632885.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8974,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-906949.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+8976,"Theme: logistics entity-extraction regression-suite qa 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: 8976-694397.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8977,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-128529.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8978,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8978-900938.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8979,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-778125.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+8980,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 8980-484003.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8981,"Theme: logistics entity-extraction regression-suite qa 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: 8981-749113.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8982,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-984520.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+8983,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-368317.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+8984,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-848744.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+8985,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-545620.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9109,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9109-837024.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9129,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9129-404636.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9142,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-767854.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9143,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-138790.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9160,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-612085.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9168,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 9168-313955.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9171,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-707228.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9188,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-398873.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9195,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-207928.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9200,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-365982.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9209,"Theme: logistics entity-extraction regression-suite qa 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: 9209-352126.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9219,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-255183.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9221,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9221-943477.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9227,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-859505.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9228,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9228-395923.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9229,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; 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: 9229-300710.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9230,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-707103.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9231,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; 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: 9231-832087.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9232,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-533815.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9233,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9233-112544.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9293,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9293-314409.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9322,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-454492.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9323,"Theme: logistics entity-extraction regression-suite qa 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: 9323-200294.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9324,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-354359.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9325,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-885773.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9326,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: BILINGUAL; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-192740.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9327,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; 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: 9327-303462.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9328,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9328-291047.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9330,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 9330-442536.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9357,"Theme: logistics entity-extraction regression-suite qa 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: 9357-706828.",logistics entity-extraction regression-suite qa bilingual,cinematic,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9381,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-766273.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9383,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9383-209697.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9388,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-122079.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9389,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-672130.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9400,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 9400-581600.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9402,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-591882.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9403,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 9403-924432.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9404,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-498033.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9407,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-161785.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9408,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-692317.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9409,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-238754.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9410,"Theme: logistics entity-extraction regression-suite qa 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: 9410-437169.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9411,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-824706.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9412,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 9412-909462.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9413,"Theme: logistics entity-extraction regression-suite qa 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: 9413-920145.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9414,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9414-814607.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9415,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-462359.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9416,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-231954.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9417,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-803508.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9418,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-306276.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9480,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-170837.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9523,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-446824.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9524,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 9524-957962.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9532,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-812596.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9533,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-302732.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9534,"Theme: logistics entity-extraction regression-suite qa 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: 9534-157103.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9535,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: qa; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-676636.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9536,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9536-610077.",logistics entity-extraction regression-suite qa bilingual,cinematic,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9537,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9537-387988.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9538,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-680524.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9539,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9539-801701.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9540,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; 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: 9540-810345.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9541,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-779830.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9542,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: grounding-check; Format: qa; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-240280.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9602,"Theme: logistics entity-extraction regression-suite qa 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: 9602-765317.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9603,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9603-742612.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9664,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9664-326301.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9665,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-182962.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9666,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-405790.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9691,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-400574.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9699,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-173890.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9708,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-150487.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9709,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-938592.",logistics entity-extraction regression-suite qa bilingual,stylized,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9711,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-367951.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9719,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: BILINGUAL; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-319236.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9720,"Theme: logistics entity-extraction regression-suite qa 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: 9720-749667.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9721,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-865837.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9722,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9722-357448.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9723,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-286921.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9724,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9724-604962.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9725,"Theme: logistics entity-extraction regression-suite qa 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: 9725-571923.",logistics entity-extraction regression-suite qa bilingual,detailed,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9726,"Theme: logistics entity-extraction regression-suite qa 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: 9726-298286.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9727,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; 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: 9727-866187.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9728,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: 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: 9728-454444.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9814,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9814-454649.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9819,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9819-244461.",logistics entity-extraction regression-suite qa bilingual,production-ready,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9820,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: benchmarking; Format: qa; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-863450.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9821,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9821-355653.",logistics entity-extraction regression-suite qa bilingual,clean,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9822,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-235263.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9823,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-613724.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9824,"Theme: logistics entity-extraction regression-suite qa 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: 9824-719515.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9825,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-733097.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9826,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-664419.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9827,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: qa; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-700469.",logistics entity-extraction regression-suite qa bilingual,clean,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9828,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-438048.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9829,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; 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: 9829-838108.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9830,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-424874.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9831,"Theme: logistics entity-extraction regression-suite qa 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: 9831-105823.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9833,"Theme: logistics entity-extraction regression-suite qa 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: 9833-298485.",logistics entity-extraction regression-suite qa bilingual,stylized,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9834,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-647547.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9836,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-415350.",logistics entity-extraction regression-suite qa bilingual,clean,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9837,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-530977.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9839,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9839-942007.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9840,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-403931.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9841,"Theme: logistics entity-extraction regression-suite qa 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: 9841-253844.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9842,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-530855.",logistics entity-extraction regression-suite qa bilingual,minimal,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9843,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-743420.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9844,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-626792.",logistics entity-extraction regression-suite qa bilingual,production-ready,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9845,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9845-661492.",logistics entity-extraction regression-suite qa bilingual,minimal,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9846,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: BILINGUAL; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-941749.",logistics entity-extraction regression-suite qa bilingual,minimal,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9847,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-546018.",logistics entity-extraction regression-suite qa bilingual,clean,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9848,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-854783.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9849,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-117702.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9850,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-470200.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9851,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9851-790966.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9852,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ai researcher; Task: benchmarking; Format: qa; Language: BILINGUAL; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-223193.",logistics entity-extraction regression-suite qa bilingual,stylized,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9928,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-945930.",logistics entity-extraction regression-suite qa bilingual,production-ready,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9933,"Theme: logistics entity-extraction regression-suite qa 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: 9933-524662.",logistics entity-extraction regression-suite qa bilingual,cinematic,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9935,"Theme: logistics entity-extraction regression-suite qa 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: 9935-339114.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9936,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: quality-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-953194.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9937,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: platform engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-784648.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9938,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-884122.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9939,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: BILINGUAL; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-469709.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9940,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-249868.",logistics entity-extraction regression-suite qa bilingual,detailed,benchmark-grade,2026-02-22T23:48:02.662416Z,1.0000,ok
+9941,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-412735.",logistics entity-extraction regression-suite qa bilingual,clean,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9943,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: platform engineer; Task: quality-check; Format: qa; Language: BILINGUAL; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-484388.",logistics entity-extraction regression-suite qa bilingual,minimal,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9944,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9944-638929.",logistics entity-extraction regression-suite qa bilingual,stylized,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9947,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9947-800790.",logistics entity-extraction regression-suite qa bilingual,stylized,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
+9948,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: BILINGUAL; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-376860.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9949,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9949-845916.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9951,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ml engineer; Task: grounding-check; Format: qa; Language: BILINGUAL; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-839499.",logistics entity-extraction regression-suite qa bilingual,cinematic,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9963,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-entity-extraction; Persona: data scientist; Task: benchmarking; Format: qa; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-235090.",logistics entity-extraction regression-suite qa bilingual,minimal,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9968,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: BILINGUAL; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-877367.",logistics entity-extraction regression-suite qa bilingual,detailed,consistent,2026-02-22T23:48:02.662416Z,1.0000,ok
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+9970,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ml engineer; Task: benchmarking; Format: qa; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-151391.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9971,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: logistics-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: 9971-662789.",logistics entity-extraction regression-suite qa bilingual,detailed,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
+9972,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: platform engineer; Task: robustness-check; Format: qa; Language: BILINGUAL; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-693050.",logistics entity-extraction regression-suite qa bilingual,detailed,commercial,2026-02-22T23:48:02.662416Z,1.0000,ok
+9973,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-production; Persona: ai researcher; Task: quality-check; Format: qa; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-556997.",logistics entity-extraction regression-suite qa bilingual,cinematic,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9974,"Theme: logistics entity-extraction regression-suite qa 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: 9974-756715.",logistics entity-extraction regression-suite qa bilingual,production-ready,premium,2026-02-22T23:48:02.662416Z,1.0000,ok
+9975,"Theme: logistics entity-extraction regression-suite qa bilingual; Domain: entity-extraction-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-502950.",logistics entity-extraction regression-suite qa bilingual,production-ready,high-precision,2026-02-22T23:48:02.662416Z,1.0000,ok
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