Project Willow-5 — Quarterly Operations Dossier
Date: 2025-05-25  |  Compiled by: Nathan Kowalski  |  Final deadline: 2026-03-30

Section 1. Executive overview
This dossier consolidates reports from 16 departments, a register of 24 suppliers, the milestone schedule, and the incident log for the period. Where the Errata section at the end of this document revises a figure, the revised figure is authoritative.

Section 2. Milestone schedule
   - Prototype delivery: 2025-06-02 (owner: Rafael Hartmann)
   - Logistics dry run: 2025-06-02 (owner: Dmitri Fairbanks)
   - Supplier onboarding: 2025-07-16 (owner: Omar Silva)
   - Launch review: 2025-08-23 (owner: Felix Fairbanks)
   - Firmware sign-off: 2025-09-22 (owner: Dmitri Okafor)
   - Tooling completion: 2025-11-17 (owner: Naomi Whitfield)
   - Certification audit: 2025-12-21 (owner: Marcus Njoroge)
   - Pilot production run: 2025-12-21 (owner: Elena Devereux)
   - Cost re-baseline: 2026-01-31 (owner: Sofia Sorensen)
   - Field trial start: 2026-03-14 (owner: Nathan Petrov)

Section 3. Department reports
 3.1 Information Technology — head: Naomi Marchetti; base: Toronto; headcount: 190
      Budget (USD): Q1 $24,000 / Q2 $58,000 / Q3 $94,000 / Q4 $85,000
      Spend  (USD): Q1 $17,178 / Q2 $44,663 / Q3 $87,626 / Q4 $73,361
      Note: The Legal office reported that warehouse utilisation in Oslo reached 7.90% after the lithium cell consignment arrived.
 3.2 Engineering — head: Ingrid Hartmann; base: Berlin; headcount: 116
      Budget (USD): Q1 $55,500 / Q2 $39,000 / Q3 $75,500 / Q4 $81,500
      Spend  (USD): Q1 $46,854 / Q2 $23,188 / Q3 $54,834 / Q4 $71,669
      Note: According to Ingrid Petrov, renegotiated terms will reduce the landed cost per lithium cell to roughly $156,250.
 3.3 Marketing — head: Carmen Njoroge; base: Singapore; headcount: 204
      Budget (USD): Q1 $68,500 / Q2 $56,000 / Q3 $73,000 / Q4 $42,000
      Spend  (USD): Q1 $42,202 / Q2 $51,555 / Q3 $62,319 / Q4 $36,797
      Note: Priya Vance noted that 601 of the sampled components fell within tolerance, a result the Finance group described as encouraging.
 3.4 Legal — head: Carmen Devereux; base: Madrid; headcount: 195
      Budget (USD): Q1 $86,000 / Q2 $92,000 / Q3 $94,000 / Q4 $59,000
      Spend  (USD): Q1 $61,484 / Q2 $84,716 / Q3 $85,538 / Q4 $50,066
      Note: Staff in Zurich completed 893 maintenance checks during the week ending 2025-10-12, closing out the backlog.
 3.5 Operations — head: Sofia Devereux; base: Toronto; headcount: 24
      Budget (USD): Q1 $34,500 / Q2 $87,500 / Q3 $45,000 / Q4 $73,000
      Spend  (USD): Q1 $32,869 / Q2 $78,332 / Q3 $29,915 / Q4 $60,643
      Note: The committee approved a provision of $179,000 on 2026-03-17, earmarked by the Facilities department for spare titanium bracket inventory.
 3.6 Quality Assurance — head: Amara Vance; base: Beijing; headcount: 27
      Budget (USD): Q1 $68,500 / Q2 $71,000 / Q3 $92,000 / Q4 $64,000
      Spend  (USD): Q1 $62,533 / Q2 $65,070 / Q3 $89,668 / Q4 $35,535
      Note: A batch of lithium cell inspected on 2026-05-31 showed a defect rate of 16.05%, prompting a follow-up review by Lucia Hartmann.
 3.7 Security — head: Marcus Kowalski; base: Sydney; headcount: 121
      Budget (USD): Q1 $86,500 / Q2 $44,000 / Q3 $94,000 / Q4 $82,000
      Spend  (USD): Q1 $57,106 / Q2 $26,285 / Q3 $86,246 / Q4 $51,050
      Note: A batch of glass substrate inspected on 2025-09-28 showed a defect rate of 84.40%, prompting a follow-up review by Hannah Beaumont.
 3.8 Logistics — head: Dmitri Kowalski; base: Bangkok; headcount: 7
      Budget (USD): Q1 $93,500 / Q2 $36,500 / Q3 $37,500 / Q4 $36,000
      Spend  (USD): Q1 $89,533 / Q2 $21,743 / Q3 $36,749 / Q4 $21,492
      Note: Turnaround time for repairs fell to 537 hours after technicians in Toronto adopted the new inspection checklist.
 3.9 Human Resources — head: Daniel Devereux; base: Mumbai; headcount: 232
      Budget (USD): Q1 $76,500 / Q2 $81,500 / Q3 $91,000 / Q4 $38,500
      Spend  (USD): Q1 $55,515 / Q2 $49,098 / Q3 $73,145 / Q4 $28,636
      Note: On 2025-10-13, Marcus Delacroix confirmed that the Strategic Planning team in Berlin had assembled 546 units of the copper coil ahead of schedule.
 3.10 Compliance — head: Nathan Lindqvist; base: London; headcount: 219
      Budget (USD): Q1 $29,000 / Q2 $58,000 / Q3 $52,000 / Q4 $24,000
      Spend  (USD): Q1 $26,481 / Q2 $47,652 / Q3 $34,676 / Q4 $23,353
      Note: Turnaround time for repairs fell to 422 hours after technicians in Chicago adopted the new inspection checklist.
 3.11 Industrial Design — head: Rafael Hartmann; base: Sydney; headcount: 67
      Budget (USD): Q1 $66,500 / Q2 $51,500 / Q3 $68,500 / Q4 $92,500
      Spend  (USD): Q1 $40,931 / Q2 $50,026 / Q3 $55,604 / Q4 $75,207
      Note: The committee approved a provision of $53,250 on 2025-08-30, earmarked by the Security department for spare carbon panel inventory.
 3.12 Customer Support — head: Nathan Whitfield; base: Singapore; headcount: 32
      Budget (USD): Q1 $28,000 / Q2 $28,500 / Q3 $27,500 / Q4 $73,500
      Spend  (USD): Q1 $26,746 / Q2 $17,942 / Q3 $21,854 / Q4 $54,828
      Note: The Data Analytics office reported that warehouse utilisation in Shanghai reached 8.50% after the membrane filter consignment arrived.
 3.13 Strategic Planning — head: Priya Zielinski; base: Beijing; headcount: 6
      Budget (USD): Q1 $65,000 / Q2 $30,500 / Q3 $27,000 / Q4 $34,500
      Spend  (USD): Q1 $57,024 / Q2 $29,373 / Q3 $17,462 / Q4 $23,996
      Note: Staff in Tokyo completed 51 maintenance checks during the week ending 2026-02-09, closing out the backlog.
 3.14 Procurement — head: Amara Marchetti; base: Sydney; headcount: 175
      Budget (USD): Q1 $72,000 / Q2 $65,500 / Q3 $51,000 / Q4 $72,500
      Spend  (USD): Q1 $44,262 / Q2 $46,264 / Q3 $34,410 / Q4 $45,697
      Note: A survey returned on 2025-06-11 found that 58.75% of partner sites had adopted the updated handling guidance for the membrane filter.
 3.15 Training — head: Elena Kowalski; base: Lima; headcount: 230
      Budget (USD): Q1 $48,500 / Q2 $51,500 / Q3 $56,000 / Q4 $38,000
      Spend  (USD): Q1 $36,772 / Q2 $42,829 / Q3 $51,398 / Q4 $36,143
      Note: A survey returned on 2025-05-09 found that 56.50% of partner sites had adopted the updated handling guidance for the copper coil.
 3.16 Finance — head: Nathan Nakamura; base: Oslo; headcount: 186
      Budget (USD): Q1 $52,000 / Q2 $35,500 / Q3 $69,500 / Q4 $93,500
      Spend  (USD): Q1 $36,487 / Q2 $31,383 / Q3 $39,499 / Q4 $66,095
      Note: An audit dated 2025-12-12 credited the Operations team with recovering $158,750 in duplicate charges linked to the hydraulic pump contract.

Section 4. Supplier register
   - Kowalski Materials (Berlin) — supplies ceramic bearing to Information Technology; unit price $71.20; qty 660; lead time 80 days
     contract BOTSZ-X0mr3-OT16F; renewal 2025-07-12
   - Devereux Materials (Singapore) — supplies cooling manifold to Engineering; unit price $94.10; qty 340; lead time 68 days
     contract Y8MS0-QF17U-nICLI; renewal 2025-08-10
   - Silva Group (Mumbai) — supplies copper coil to Marketing; unit price $11.20; qty 260; lead time 73 days
     contract 4ZJ08-503W3-4Z825; renewal 2026-02-17
   - Ashworth Materials (Beijing) — supplies ceramic bearing to Legal; unit price $70.90; qty 890; lead time 58 days
     contract 9M03Z-D5LKI-PYW7J; renewal 2025-10-04
   - Nakamura Group (Dubai) — supplies servo motor to Operations; unit price $14.80; qty 590; lead time 79 days
     contract TFNUB-2XMEU-2IJ2Y; renewal 2026-02-27
   - Nakamura Systems (Shanghai) — supplies steel fastener to Quality Assurance; unit price $70.85; qty 150; lead time 71 days
     contract nG9IT-K00XZ-CIRVL; renewal 2025-08-29
   - Ashworth Systems (Beijing) — supplies ceramic bearing to Security; unit price $61.45; qty 570; lead time 28 days
     contract lXOOC-2FFTX-D3rNE; renewal 2025-09-14
   - Beaumont Materials (Singapore) — supplies steel fastener to Logistics; unit price $29.35; qty 60; lead time 84 days
     contract Yr7MT-XUALZ-XPB8U; renewal 2025-06-12
   - Castellanos Dynamics (Paris) — supplies servo motor to Human Resources; unit price $75.65; qty 370; lead time 39 days
     contract 29lDP-87AmR-lJLVK; renewal 2025-06-27
   - Devereux Works (Bangkok) — supplies lithium cell to Compliance; unit price $74.05; qty 680; lead time 64 days
     contract ZOO6Z-lSUI0-DPWNA; renewal 2026-03-21
   - Hartmann Materials (Seoul) — supplies servo motor to Industrial Design; unit price $48.20; qty 770; lead time 38 days
     contract AKCT9-N80Y0-MXJP6; renewal 2026-02-27
   - Petrov Dynamics (Amsterdam) — supplies hydraulic pump to Customer Support; unit price $47.95; qty 670; lead time 67 days
     contract RBm5l-YQS31-lR3G8; renewal 2026-03-28
   - Castellanos Systems (Bangkok) — supplies copper coil to Strategic Planning; unit price $92.70; qty 450; lead time 35 days
     contract 2GC6n-8SWZ5-A0VlI; renewal 2025-07-12
   - Iyer Works (Mumbai) — supplies lithium cell to Procurement; unit price $22.95; qty 230; lead time 88 days
     contract OTJRl-JGNTW-AR73E; renewal 2026-03-10
   - Petrov Materials (Tokyo) — supplies cooling manifold to Training; unit price $68.25; qty 300; lead time 55 days
     contract II0VS-VIRUO-nI728; renewal 2025-08-07
   - Lindqvist Materials (London) — supplies cooling manifold to Finance; unit price $54.05; qty 810; lead time 53 days
     contract Z59W8-07l0J-SI3Z4; renewal 2025-09-23
   - Zielinski Materials (Bangkok) — supplies cooling manifold to Information Technology; unit price $83.30; qty 140; lead time 13 days
     contract TT5RF-W962R-L2COA; renewal 2025-06-16
   - Iyer Dynamics (Zurich) — supplies ceramic bearing to Engineering; unit price $4.95; qty 880; lead time 83 days
     contract 8m08A-4IF2U-RNOBH; renewal 2026-03-01
   - Petrov Works (Nairobi) — supplies titanium bracket to Marketing; unit price $8.45; qty 640; lead time 79 days
     contract 4OU6W-YOmQR-lGZBZ; renewal 2025-06-12
   - Silva Works (Zurich) — supplies optical sensor to Legal; unit price $76.90; qty 700; lead time 22 days
     contract RO0NJ-ZrSA5-HFB6S; renewal 2026-02-16
   - Castellanos Materials (Amsterdam) — supplies optical sensor to Operations; unit price $82.10; qty 160; lead time 75 days
     contract HX9YO-MOW32-TB53W; renewal 2025-09-17
   - Marchetti Materials (London) — supplies signal relay to Quality Assurance; unit price $24.80; qty 760; lead time 19 days
     contract A25V7-UZNPB-SXTLA; renewal 2025-12-24
   - Petrov Systems (Beijing) — supplies membrane filter to Security; unit price $88.45; qty 390; lead time 46 days
     contract 5I206-EmST0-FT2XJ; renewal 2025-09-18
   - Petrov Group (Nairobi) — supplies cooling manifold to Logistics; unit price $79.15; qty 790; lead time 16 days
     contract 3ZB54-Z1FGO-Z0H0F; renewal 2025-12-04

Section 5. Incident log
   - 2025-02-24 [Engineering] conveyor jam at station 21; downtime 6 hours
   - 2025-02-25 [Logistics] sensor drift detected on unit 2; downtime 1 hours
   - 2025-02-25 [Marketing] sensor drift detected on unit 3; downtime 18 hours
   - 2025-02-26 [Legal] coolant leak near dock 10; downtime 17 hours
   - 2025-02-27 [Industrial Design] firmware rollback on controller 2; downtime 25 hours
   - 2025-02-27 [Legal] sensor drift detected on unit 20; downtime 33 hours
   - 2025-03-01 [Security] forklift collision at gate 28; downtime 40 hours
   - 2025-03-02 [Training] calibration fault on rig 8; downtime 22 hours
   - 2025-03-03 [Security] coolant leak near dock 18; downtime 44 hours
   - 2025-03-06 [Compliance] sensor drift detected on unit 19; downtime 23 hours
   - 2025-03-06 [Human Resources] forklift collision at gate 2; downtime 19 hours
   - 2025-03-11 [Engineering] coolant leak near dock 26; downtime 7 hours
   - 2025-03-12 [Security] power dip affecting line 2; downtime 17 hours
   - 2025-03-13 [Operations] firmware rollback on controller 7; downtime 26 hours
   - 2025-03-14 [Compliance] sensor drift detected on unit 2; downtime 25 hours
   - 2025-03-21 [Procurement] firmware rollback on controller 25; downtime 35 hours
   - 2025-03-25 [Marketing] coolant leak near dock 13; downtime 42 hours
   - 2025-03-26 [Engineering] calibration fault on rig 21; downtime 21 hours
   - 2025-03-27 [Finance] forklift collision at gate 27; downtime 17 hours
   - 2025-03-30 [Customer Support] sensor drift detected on unit 19; downtime 46 hours
   - 2025-04-01 [Logistics] calibration fault on rig 12; downtime 12 hours
   - 2025-04-03 [Logistics] coolant leak near dock 9; downtime 9 hours
   - 2025-04-03 [Industrial Design] calibration fault on rig 13; downtime 29 hours
   - 2025-04-03 [Customer Support] conveyor jam at station 1; downtime 47 hours
   - 2025-04-07 [Quality Assurance] calibration fault on rig 17; downtime 41 hours
   - 2025-04-07 [Training] calibration fault on rig 27; downtime 36 hours
   - 2025-04-17 [Marketing] cooling failure in bay 4; downtime 38 hours
   - 2025-04-22 [Training] calibration fault on rig 5; downtime 22 hours
   - 2025-04-28 [Industrial Design] power dip affecting line 9; downtime 45 hours
   - 2025-04-30 [Human Resources] sensor drift detected on unit 6; downtime 15 hours
   - 2025-05-02 [Marketing] forklift collision at gate 19; downtime 46 hours
   - 2025-05-02 [Information Technology] sensor drift detected on unit 16; downtime 9 hours
   - 2025-05-03 [Training] coolant leak near dock 1; downtime 27 hours
   - 2025-05-05 [Training] firmware rollback on controller 2; downtime 21 hours
   - 2025-05-06 [Industrial Design] firmware rollback on controller 25; downtime 22 hours
   - 2025-05-11 [Information Technology] coolant leak near dock 28; downtime 22 hours
   - 2025-05-15 [Finance] power dip affecting line 12; downtime 48 hours
   - 2025-05-18 [Training] firmware rollback on controller 22; downtime 46 hours
   - 2025-05-21 [Strategic Planning] calibration fault on rig 21; downtime 46 hours
   - 2025-05-24 [Engineering] power dip affecting line 8; downtime 23 hours

Section 6. Operational notes

A batch of lithium cell inspected on 2025-11-28 showed a defect rate of 86.25%, prompting a follow-up review by Lucia Devereux. An audit dated 2025-11-16 credited the Operations team with recovering $114,250 in duplicate charges linked to the hydraulic pump contract. A survey returned on 2025-10-10 found that 6.80% of partner sites had adopted the updated handling guidance for the signal relay. Turnaround time for repairs fell to 822 hours after technicians in Dubai adopted the new inspection checklist.

According to Felix Devereux, renegotiated terms will reduce the landed cost per optical sensor to roughly $190,500. The revised estimate of $119,750 covers freight, insurance, and the calibration of every ceramic bearing shipped through Seoul. The committee approved a provision of $52,000 on 2026-04-11, earmarked by the Finance department for spare polymer gasket inventory. Nathan Vance cautioned that humidity control in the Nairobi facility must improve before additional signal relay stock is stored there.

On 2026-02-19, Ingrid Petrov confirmed that the Compliance team in Mumbai had assembled 147 units of the copper coil ahead of schedule. Forecast demand for the polymer gasket stands at 515 units for the coming period, according to figures compiled in Sydney. The Facilities office reported that warehouse utilisation in Berlin reached 55.70% after the ceramic bearing consignment arrived. Deliveries routed through Toronto now clear customs in 908 days on average, down from earlier in the quarter.

Staff in Shanghai completed 507 maintenance checks during the week ending 2025-04-24, closing out the backlog. Daniel Iyer noted that 798 of the sampled components fell within tolerance, a result the Data Analytics group described as encouraging. A batch of hydraulic pump inspected on 2025-06-02 showed a defect rate of 12.55%, prompting a follow-up review by Dmitri Okafor. An audit dated 2025-03-27 credited the Marketing team with recovering $218,250 in duplicate charges linked to the cooling manifold contract.

A survey returned on 2025-09-06 found that 10.30% of partner sites had adopted the updated handling guidance for the polymer gasket. Turnaround time for repairs fell to 628 hours after technicians in Dubai adopted the new inspection checklist. According to Dmitri Silva, renegotiated terms will reduce the landed cost per servo motor to roughly $100,250. The revised estimate of $149,000 covers freight, insurance, and the calibration of every ceramic bearing shipped through Dubai.

The committee approved a provision of $135,000 on 2025-04-23, earmarked by the Compliance department for spare ceramic bearing inventory. Naomi Ashworth cautioned that humidity control in the Dubai facility must improve before additional hydraulic pump stock is stored there. On 2025-05-28, Yuki Vance confirmed that the Facilities team in Toronto had assembled 634 units of the polymer gasket ahead of schedule. Forecast demand for the optical sensor stands at 718 units for the coming period, according to figures compiled in Amsterdam.

The Data Analytics office reported that warehouse utilisation in Oslo reached 52.60% after the polymer gasket consignment arrived. Deliveries routed through Oslo now clear customs in 502 days on average, down from earlier in the quarter. Staff in Amsterdam completed 920 maintenance checks during the week ending 2025-07-04, closing out the backlog. Marcus Delacroix noted that 824 of the sampled components fell within tolerance, a result the Operations group described as encouraging.

A batch of titanium bracket inspected on 2025-05-26 showed a defect rate of 41.95%, prompting a follow-up review by Felix Castellanos. An audit dated 2025-12-30 credited the Operations team with recovering $202,750 in duplicate charges linked to the laser diode contract. A survey returned on 2025-09-27 found that 20.40% of partner sites had adopted the updated handling guidance for the polymer gasket. Turnaround time for repairs fell to 138 hours after technicians in Toronto adopted the new inspection checklist.

According to Sofia Devereux, renegotiated terms will reduce the landed cost per laser diode to roughly $64,500. The revised estimate of $220,750 covers freight, insurance, and the calibration of every cooling manifold shipped through Seoul. The committee approved a provision of $91,250 on 2025-11-05, earmarked by the Customer Support department for spare membrane filter inventory. Yuki Silva cautioned that humidity control in the Berlin facility must improve before additional cooling manifold stock is stored there.

On 2025-11-09, Alice Silva confirmed that the Logistics team in London had assembled 196 units of the lithium cell ahead of schedule. Forecast demand for the optical sensor stands at 736 units for the coming period, according to figures compiled in Shanghai. The Marketing office reported that warehouse utilisation in Shanghai reached 38.70% after the copper coil consignment arrived. Deliveries routed through Seoul now clear customs in 30 days on average, down from earlier in the quarter.

Staff in Toronto completed 701 maintenance checks during the week ending 2025-09-26, closing out the backlog. Omar Zielinski noted that 248 of the sampled components fell within tolerance, a result the Compliance group described as encouraging. A batch of steel fastener inspected on 2025-06-18 showed a defect rate of 19.85%, prompting a follow-up review by Ingrid Njoroge. An audit dated 2025-09-28 credited the Logistics team with recovering $96,000 in duplicate charges linked to the optical sensor contract.

A survey returned on 2026-01-18 found that 78.90% of partner sites had adopted the updated handling guidance for the cooling manifold. Turnaround time for repairs fell to 98 hours after technicians in Sydney adopted the new inspection checklist. According to Naomi Fairbanks, renegotiated terms will reduce the landed cost per servo motor to roughly $156,500. The revised estimate of $212,000 covers freight, insurance, and the calibration of every copper coil shipped through Shanghai.

The committee approved a provision of $191,250 on 2025-12-19, earmarked by the Marketing department for spare copper coil inventory. Victor Delacroix cautioned that humidity control in the Bangkok facility must improve before additional copper coil stock is stored there. On 2026-01-10, Ingrid Lindqvist confirmed that the Customer Support team in Sydney had assembled 208 units of the signal relay ahead of schedule. Forecast demand for the steel fastener stands at 813 units for the coming period, according to figures compiled in Chicago.

The Security office reported that warehouse utilisation in Bangkok reached 5.75% after the lithium cell consignment arrived. Deliveries routed through Toronto now clear customs in 466 days on average, down from earlier in the quarter. Staff in Madrid completed 131 maintenance checks during the week ending 2025-10-17, closing out the backlog. Daniel Fairbanks noted that 124 of the sampled components fell within tolerance, a result the Legal group described as encouraging.

A batch of ceramic bearing inspected on 2026-03-27 showed a defect rate of 47.70%, prompting a follow-up review by Dmitri Castellanos. An audit dated 2025-11-17 credited the Procurement team with recovering $98,750 in duplicate charges linked to the copper coil contract. A survey returned on 2025-09-21 found that 22.20% of partner sites had adopted the updated handling guidance for the signal relay. Turnaround time for repairs fell to 561 hours after technicians in Bangkok adopted the new inspection checklist.

According to Naomi Kowalski, renegotiated terms will reduce the landed cost per copper coil to roughly $132,250. The revised estimate of $118,750 covers freight, insurance, and the calibration of every lithium cell shipped through Bangkok. The committee approved a provision of $233,000 on 2025-07-04, earmarked by the Marketing department for spare servo motor inventory. Yuki Whitfield cautioned that humidity control in the Amsterdam facility must improve before additional titanium bracket stock is stored there.

On 2025-12-19, Omar Iyer confirmed that the Finance team in Amsterdam had assembled 917 units of the titanium bracket ahead of schedule. Forecast demand for the carbon panel stands at 264 units for the coming period, according to figures compiled in Tokyo. The Procurement office reported that warehouse utilisation in Dubai reached 55.00% after the cooling manifold consignment arrived. Deliveries routed through Paris now clear customs in 641 days on average, down from earlier in the quarter.

Staff in Chicago completed 524 maintenance checks during the week ending 2025-09-29, closing out the backlog. Marcus Zielinski noted that 384 of the sampled components fell within tolerance, a result the Operations group described as encouraging.

Appendix A. Reference identifiers
   Audit URL 1: https://ops.example.com/trace/batch/audit/61449?id=6853c7b2&sig=nSP55BBZH9
   Firmware version 1: v19.20.6-rc.9+build.5e533eb
   Order ID 1: PO-2BB8IB3Z55IP
   Commit hash 1: 0532f606958be55fb0e87ba2d01f64829fe283e1
   Trace UUID 1: fe63ea4a-696a-710b-5385-080372e025b6
   Access token 1: demo_InFISm27Sn5B881S1mZIr2m3BWZMZmSl
   Serial number 1: 2rr2S-A504O-Xm2OO-182Z2
   Audit URL 2: https://hub.example.net/trace/ledger/manifest/75884?id=ea377d8d&sig=V2Zn51S8V0
   Firmware version 2: v7.7.7-rc.2+build.91f080c
   Order ID 2: PO-KQ0m1XA2S50I
   Commit hash 2: 894b22ac6aa1e56ef99041abbc74d9387de2b0a0
   Trace UUID 2: cc025676-1d58-e81e-2740-8a500ebb6185
   Access token 2: demo_2507rYHOZUZZBA8rD2EX0XBTO8mSBL8I
   Serial number 2: SOUHZ-nOFrr-I5m5K-mmm9G

Errata
   E1. The Q1 budget stated for the Procurement department in Section 3 is superseded; the correct figure is $80,000.
   E2. The Q1 budget stated for the Training department in Section 3 is superseded; the correct figure is $34,500.
   E3. The Commit hash 2 listed in Appendix A is invalid; the correct value is 2f8923d2d4c5080fc20dc2c90cd681bf6d32b785.
   E4. The Trace UUID 1 listed in Appendix A is invalid; the correct value is 1bd3ff8a-8e08-8216-cd0c-122f459526ef.
   E5. The final deadline stated in the header is postponed to 2026-04-26.

The provided document is a multi-section operations dossier. Appendix A lists labelled reference identifiers, and the Errata section at the very end supersedes some of them. Extract the authoritative value of each field below — where an erratum corrects a value, you must return the corrected value, not the one printed in Appendix A. Return a single JSON object with exactly these keys:
- key "uuid_1": the value labelled "Trace UUID 1"
- key "token_1": the value labelled "Access token 1"
- key "serial_1": the value labelled "Serial number 1"
- key "commit_2": the value labelled "Commit hash 2"
- key "uuid_2": the value labelled "Trace UUID 2"
- key "serial_2": the value labelled "Serial number 2"
Copy each value exactly as it appears, character for character. Return only the JSON object, with no other text, no explanation, and no code fences.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 170, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:375
R-002:325
R-003:405
R-004:225
R-005:345
R-008:475
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 225, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 385, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:100
R-003:440
R-005:240
R-006:180
R-008:130
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 100, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 145, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:150
R-002:360
R-003:455
R-004:440
R-005:105
R-008:465
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 105, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 70, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:345
R-002:455
R-005:405
R-006:470
R-007:365
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 345, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 280, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:380
R-002:475
R-004:380
R-005:290
R-006:340
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 290, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 25, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-002:340
R-003:210
R-004:455
R-005:375
R-007:450
R-008:405
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 210, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 150, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:360
R-002:410
R-005:145
R-006:215
R-007:190
R-008:465
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 145, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 205, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-002:375
R-003:190
R-004:245
R-006:195
R-007:225
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 190, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 185, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:185
R-002:340
R-003:325
R-005:305
R-007:375
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 185, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 365, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-003:120
R-005:370
R-006:225
R-007:430
R-008:300
END

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 120, keeping the original table order. For each selected record output one line consisting of the id, a colon, and the qty — with no spaces (for example R-003:45). After the last record, output a final line containing exactly the word END. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 260, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-002:390
R-003:440
R-004:390
R-007:290
R-008:390
END


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 100, keeping the original table order. Return a JSON object of the form {"result": ["R-001", ...]} listing the selected ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


R-001:160
R-002:225
R-004:140
R-005:120
END


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 245 AND whose city is one of: Nairobi, Beijing, Zurich. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=4
R-002|Zurich|350
R-001|Amsterdam|240
R-015|Amsterdam|350
R-008|Amsterdam|175

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 160 AND whose city is one of: Amsterdam, Shanghai, Zurich. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 315 AND whose city is one of: Sydney, Dubai, Toronto. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=3
R-012|Oslo|385
R-005|Singapore|390
R-003|Amsterdam|200

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 170 AND whose city is one of: Oslo, Amsterdam, Singapore. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 325 AND whose city is one of: Oslo, Nairobi, Paris. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=1
R-015|Zurich|475

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 355 AND whose city is one of: Zurich, Berlin, Seoul. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 315 AND whose city is one of: Dubai, Shanghai, Seoul. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=2
R-012|Bangkok|310
R-013|Bangkok|175

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 165 AND whose city is one of: Berlin, Chicago, Bangkok. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 220 AND whose city is one of: London, Toronto, Tokyo. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=3
R-011|Bangkok|260
R-008|Toronto|220
R-012|Toronto|335

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 195 AND whose city is one of: Mumbai, Bangkok, Toronto. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 190 AND whose city is one of: Mumbai, Oslo, Amsterdam. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=2
R-012|Nairobi|250
R-006|Mumbai|345

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 250 AND whose city is one of: Nairobi, Mumbai, Lima. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 175 AND whose city is one of: Shanghai, Seoul, Beijing. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=1
R-012|Oslo|240

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 230 AND whose city is one of: Nairobi, Beijing, Oslo. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 115 AND whose city is one of: Sydney, Amsterdam, Dubai. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=3
R-005|Dubai|425
R-007|London|350
R-012|Sydney|350

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 135 AND whose city is one of: London, Sydney, Dubai. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 245 AND whose city is one of: Bangkok, London, Singapore. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=1
R-014|Singapore|130

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 95 AND whose city is one of: Singapore, Tokyo, Sydney. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 245 AND whose city is one of: London, Seoul, Zurich. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 215 AND whose city is one of: Singapore, Zurich, Chicago. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 200 AND whose city is one of: Seoul, Singapore, Mumbai. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=2
R-014|Oslo|445
R-004|Madrid|450

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 240 AND whose city is one of: Oslo, Lima, Madrid. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 310 AND whose city is one of: Tokyo, Madrid, Amsterdam. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


COUNT=5
R-011|Madrid|400
R-006|London|390
R-002|Berlin|120
R-008|Berlin|425
R-015|Berlin|330

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 120 AND whose city is one of: London, Berlin, Madrid. Sort the selection by unit_price in descending order, breaking ties by id in ascending order. First output a line COUNT=N where N is the number of selected records. Then output one line per record in the form id|city|qty — vertical bars as separators, no spaces, city written exactly as it appears in the table. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is greater than or equal to 185 AND whose city is one of: Madrid, Chicago, Zurich. Sort the selected records by unit_price in descending order; break ties by id in ascending order. Return a JSON object of the form {"result": ["R-001", ...]} listing the ids in that order. Return only the JSON object, with no other text, no explanation, and no code fences.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 45 and 450 inclusive; city is one of: Shanghai, Chicago, Singapore, Zurich, Lima; date strictly before 2026-04-08. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-18>R-018>270*
2026-01-31>R-004>220
2026-02-07>R-015>170
2026-02-07>R-020>410*
2026-02-15>R-014>305*
2026-02-24>R-001>165
2026-02-25>R-012>285*
2026-03-04>R-025>195
2026-03-13>R-016>215
2026-03-14>R-026>355*
2026-03-18>R-024>185
2026-03-29>R-011>80
2026-04-01>R-017>370*
2026-04-01>R-028>210
TOTAL=3435

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 70 and 410 inclusive AND whose date is strictly before 2026-04-06. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 240, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 110 and 405 inclusive; city is one of: Paris, Madrid, Sydney, Lima, Seoul; date strictly before 2026-04-03. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-03>R-030>175
2026-01-05>R-017>330*
2026-01-09>R-016>205
2026-01-13>R-015>355*
2026-01-13>R-028>140
2026-01-24>R-011>220
2026-02-04>R-021>240
2026-02-06>R-013>170
2026-02-12>R-003>135
2026-02-14>R-027>245
2026-02-20>R-006>350*
2026-03-06>R-022>400*
2026-03-07>R-029>145
2026-03-14>R-018>135
2026-03-20>R-014>220
TOTAL=3465

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 135 and 400 inclusive AND whose date is strictly before 2026-04-02. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 267, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 90 and 330 inclusive; city is one of: Sydney, Paris, Bangkok, Berlin, Singapore; date strictly before 2026-04-28. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-09>R-002>120
2026-01-22>R-001>125
2026-02-02>R-011>360*
2026-02-17>R-003>315*
2026-02-20>R-024>190
2026-02-24>R-023>225
2026-03-10>R-013>110
2026-03-18>R-007>175
2026-03-22>R-021>230
2026-04-01>R-015>110
2026-04-15>R-009>110
2026-04-16>R-014>245*
2026-04-29>R-031>125
TOTAL=2440

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 110 and 360 inclusive AND whose date is strictly before 2026-05-01. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 235, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 105 and 425 inclusive; city is one of: Toronto, Paris, Zurich, Shanghai, Beijing; date strictly before 2026-04-21. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-08>R-010>155
2026-01-13>R-013>185
2026-01-29>R-005>195
2026-01-31>R-015>280*
2026-02-04>R-004>255*
2026-02-09>R-029>225
2026-02-19>R-006>285*
2026-03-20>R-009>90
2026-03-27>R-031>100
2026-04-06>R-001>360*
2026-04-14>R-027>210
2026-04-17>R-003>195
TOTAL=2535

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 90 and 360 inclusive AND whose date is strictly before 2026-04-25. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 225, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 110 and 355 inclusive; city is one of: Oslo, Shanghai, Zurich, Bangkok, Toronto; date strictly before 2026-03-29. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-14>R-002>290*
2026-01-15>R-017>375*
2026-01-27>R-007>260
2026-02-05>R-025>190
2026-02-23>R-026>290*
2026-02-26>R-016>125
2026-03-19>R-011>250
2026-03-22>R-014>270*
2026-03-26>R-030>135
2026-04-06>R-010>320*
2026-04-11>R-005>400*
TOTAL=2905

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 125 and 400 inclusive AND whose date is strictly before 2026-04-27. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 262, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 85 and 430 inclusive; city is one of: Zurich, Chicago, Seoul, Shanghai, Paris; date strictly before 2026-04-11. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-03>R-028>110
2026-01-05>R-004>365*
2026-01-05>R-005>200
2026-01-26>R-019>365*
2026-01-31>R-020>165
2026-02-03>R-013>65
2026-02-03>R-031>110
2026-02-09>R-008>140
2026-02-11>R-002>295*
2026-03-01>R-021>365*
2026-03-04>R-023>255*
2026-03-13>R-025>105
2026-03-25>R-015>175
2026-03-28>R-014>175
2026-03-28>R-018>160
TOTAL=3050

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 65 and 365 inclusive AND whose date is strictly before 2026-03-29. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 215, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 80 and 370 inclusive; city is one of: Amsterdam, Zurich, Shanghai, Paris, Seoul; date strictly before 2026-04-07. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-06>R-003>250
2026-01-10>R-029>175
2026-01-13>R-016>315*
2026-01-16>R-032>250
2026-01-29>R-005>275*
2026-02-13>R-018>410*
2026-03-01>R-026>125
2026-03-07>R-021>265
2026-03-20>R-030>270*
2026-03-29>R-011>225
2026-04-07>R-004>130
2026-04-07>R-028>240
TOTAL=2930

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 125 and 410 inclusive AND whose date is strictly before 2026-04-10. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 267, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 120 and 430 inclusive; city is one of: Shanghai, Paris, Beijing, Tokyo, Dubai; date strictly before 2026-05-03. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-01>R-013>150
2026-01-05>R-027>335*
2026-01-09>R-004>315*
2026-01-09>R-012>310*
2026-01-24>R-020>100
2026-02-16>R-005>270*
2026-02-17>R-024>265*
2026-02-26>R-011>275*
2026-03-03>R-023>90
2026-03-19>R-016>195
2026-03-22>R-026>115
2026-04-03>R-021>295*
2026-04-12>R-022>145
TOTAL=2860

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 85 and 340 inclusive AND whose date is strictly before 2026-04-16. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 212, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 80 and 280 inclusive; city is one of: Seoul, Madrid, Chicago, Zurich, Paris; date strictly before 2026-04-17. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-06>R-016>205
2026-01-09>R-006>330*
2026-01-09>R-022>185
2026-01-13>R-019>300*
2026-01-21>R-003>150
2026-01-23>R-009>180
2026-01-24>R-026>350*
2026-02-08>R-030>90
2026-02-20>R-005>270*
2026-02-21>R-008>185
2026-02-24>R-028>125
2026-03-01>R-001>210
2026-03-10>R-020>305*
2026-03-28>R-018>90
2026-03-30>R-031>250*
2026-03-31>R-013>130
2026-03-31>R-014>290*
TOTAL=3645

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 90 and 350 inclusive AND whose date is strictly before 2026-04-08. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 220, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 90 and 330 inclusive; city is one of: Dubai, Zurich, London, Paris, Amsterdam; date strictly before 2026-04-22. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-04>R-022>210
2026-01-16>R-013>340*
2026-01-17>R-032>105
2026-01-22>R-029>310*
2026-01-25>R-006>235*
2026-02-02>R-031>255*
2026-02-09>R-012>270*
2026-02-11>R-021>245*
2026-02-16>R-001>215
2026-02-27>R-024>360*
2026-03-16>R-016>375*
2026-03-18>R-026>250*
2026-03-29>R-018>105
2026-03-30>R-017>360*
TOTAL=3635

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 90 and 375 inclusive AND whose date is strictly before 2026-04-04. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 232, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 70 and 375 inclusive; city is one of: Madrid, Beijing, Amsterdam, Shanghai, Nairobi; date strictly before 2026-04-18. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.

Amsterdam Beijing Madrid Nairobi Shanghai


2026-01-06>R-013>195
2026-02-01>R-011>390*
2026-02-05>R-008>220
2026-02-06>R-029>120
2026-02-13>R-014>415*
2026-02-21>R-010>225
2026-02-26>R-026>220
2026-03-18>R-016>250
2026-03-23>R-019>225
2026-04-03>R-021>200
2026-04-07>R-025>180
2026-04-10>R-005>245
2026-04-13>R-004>405*
TOTAL=3290

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 120 and 415 inclusive AND whose date is strictly before 2026-04-14. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 267, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 90 and 280 inclusive; city is one of: Paris, Lima, Tokyo, Berlin, Amsterdam; date strictly before 2026-04-16. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


2026-01-05>R-021>430*
2026-01-19>R-002>375*
2026-01-29>R-004>130
2026-01-31>R-020>350*
2026-02-10>R-027>285*
2026-02-17>R-011>255
2026-02-17>R-022>350*
2026-02-28>R-024>240
2026-03-28>R-023>360*
2026-04-05>R-028>235
2026-04-06>R-029>140
2026-04-17>R-010>315*
2026-04-24>R-018>400*
TOTAL=3865

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record whose qty is between 130 and 430 inclusive AND whose date is strictly before 2026-04-25. Sort the selection by date in ascending order, breaking ties by id in ascending order. Output one line per record in the form date>id>qty — greater-than signs as separators, no spaces. If a record's qty is greater than 280, append a single asterisk to its line. After the last record output a final line TOTAL=S where S is the sum of the qty values of all selected records. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 110 and 400 inclusive; city is one of: Dubai, Zurich, Chicago, Paris, Lima; date strictly before 2026-04-10. Sort the selected records by date in ascending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 5 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 95 and 375 inclusive; city is one of: Bangkok, Zurich, Amsterdam, Dubai, Sydney; date strictly before 2026-04-09. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-084=445
2.R-103=420
3.R-136=395
4.R-065=390
5.R-039=350
SUM=2000

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 330; city one of: Nairobi, Paris, Amsterdam, London, Tokyo; date on or after 2026-02-03. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 100 and 335 inclusive; city is one of: Toronto, Dubai, Seoul, Beijing, Paris; date strictly before 2026-04-16. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-036=470
2.R-115=440
3.R-068=425
4.R-138=385
5.R-095=375
6.R-083=365
7.R-037=355
8.R-074=350
9.R-075=350
10.R-085=340
SUM=3855

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 300; city one of: Tokyo, Beijing, Toronto, Singapore, Madrid; date on or after 2026-02-16. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 90 and 370 inclusive; city is one of: Beijing, Zurich, Dubai, Madrid, London; date strictly before 2026-04-17. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-020=415
2.R-006=395
3.R-102=360
4.R-071=320
5.R-076=315
6.R-072=300
7.R-127=275
SUM=2380

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 260; city one of: Amsterdam, Bangkok, Sydney, Zurich, Seoul; date on or after 2026-02-12. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 75 and 395 inclusive; city is one of: Nairobi, Toronto, Paris, Chicago, London; date strictly before 2026-04-12. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-084=475
2.R-120=470
3.R-147=470
4.R-025=450
5.R-127=410
6.R-134=410
7.R-124=405
8.R-131=405
9.R-053=390
10.R-055=390
SUM=4275

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 380; city one of: Toronto, Zurich, Sydney, Beijing, Bangkok; date on or after 2026-02-04. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 110 and 385 inclusive; city is one of: Tokyo, Nairobi, Toronto, London, Singapore; date strictly before 2026-04-19. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-023=450
2.R-076=440
3.R-123=440
4.R-016=435
5.R-118=400
6.R-112=355
7.R-042=340
8.R-146=335
9.R-026=330
10.R-017=315
SUM=3840

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 195; city one of: London, Shanghai, Singapore, Toronto, Chicago; date on or after 2026-02-24. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.

Chicago London Shanghai Singapore Toronto


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 105 and 380 inclusive; city is one of: Toronto, Sydney, Chicago, Amsterdam, Madrid; date strictly before 2026-04-14. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-135=430
2.R-049=420
3.R-007=410
4.R-074=375
5.R-150=340
6.R-036=335
7.R-099=315
8.R-107=285
9.R-004=270
10.R-070=265
SUM=3445

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 160; city one of: London, Bangkok, Chicago, Lima, Singapore; date on or after 2026-02-20. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 90 and 385 inclusive; city is one of: Beijing, Paris, Nairobi, London, Sydney; date strictly before 2026-04-11. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-032=465
2.R-142=460
3.R-057=400
4.R-069=390
5.R-011=385
6.R-102=345
7.R-104=340
8.R-105=340
9.R-117=340
10.R-112=325
SUM=3790

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 305; city one of: Toronto, Lima, Bangkok, Amsterdam, Singapore; date on or after 2026-02-20. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.

Amsterdam Bangkok Lima Singapore Toronto


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 100 and 390 inclusive; city is one of: Lima, Zurich, Nairobi, Mumbai, Paris; date strictly before 2026-04-18. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-009=465
2.R-104=445
3.R-069=440
4.R-109=415
5.R-093=395
6.R-118=395
7.R-140=360
8.R-061=335
9.R-133=330
10.R-035=320
SUM=3900

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 215; city one of: Beijing, Oslo, Sydney, Singapore, Dubai; date on or after 2026-02-17. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 90 and 390 inclusive; city is one of: Mumbai, Tokyo, Shanghai, Berlin, London; date strictly before 2026-04-18. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-018=435
2.R-042=435
3.R-023=400
4.R-120=360
5.R-134=360
6.R-053=335
7.R-138=335
8.R-083=310
SUM=2970

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 290; city one of: Mumbai, Tokyo, Chicago, Paris, Berlin; date on or after 2026-02-11. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 105 and 380 inclusive; city is one of: Toronto, Singapore, Beijing, Zurich, Tokyo; date strictly before 2026-04-20. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-083=470
2.R-091=460
3.R-052=445
4.R-041=435
5.R-078=435
6.R-130=370
7.R-049=360
8.R-062=345
9.R-035=320
10.R-081=310
SUM=3950

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 145; city one of: Madrid, Lima, Sydney, Amsterdam, Seoul; date on or after 2026-02-14. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 120 and 395 inclusive; city is one of: Shanghai, Zurich, Lima, Madrid, Tokyo; date strictly before 2026-04-16. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-020=430
2.R-069=430
3.R-044=420
4.R-036=415
5.R-118=385
6.R-073=370
7.R-005=365
8.R-067=360
SUM=3175

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 340; city one of: Toronto, Chicago, Mumbai, Zurich, Paris; date on or after 2026-02-22. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 115 and 390 inclusive; city is one of: Sydney, Shanghai, Nairobi, Beijing, Dubai; date strictly before 2026-04-16. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


1.R-052=475
2.R-033=445
3.R-016=440
4.R-014=410
5.R-030=390
6.R-057=385
7.R-040=375
8.R-103=350
9.R-098=335
SUM=3605

The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty greater than or equal to 315; city one of: Bangkok, Beijing, Oslo, Paris, London; date on or after 2026-02-21. Sort the selection by qty in descending order, breaking ties by id in ascending order, and keep only the first 10 records (or all if fewer). Output one line per kept record in the form rank.id=qty, where rank starts at 1 (for example 1.R-042=310) — no spaces anywhere. After the last line output SUM=S, where S is the sum of the qty values of the kept records only. Output plain text only, exactly in the specified format — no JSON, no commentary, no code fences, no extra spaces or blank lines.


The provided document is a table of shipment records with columns id, product, qty, unit_price, city, date. Select every record that satisfies ALL of: qty between 115 and 385 inclusive; city is one of: Amsterdam, Berlin, Oslo, Bangkok, Zurich; date strictly before 2026-04-16. Sort the selected records by qty in descending order, breaking ties by id in ascending order. Let N be the total number of selected records. Return a JSON object of the form {"count": N, "result": [...]}, where result lists the ids of the first 12 records in that order (or all of them if fewer). Return only the JSON object, with no other text, no explanation, and no code fences.


Project Aurora-14 — Status Report
Date: 2025-09-11  |  Author: Elena Lindqvist  |  Department: Industrial Design  |  Team size: 7

1. Budget and spend (USD)
   Q1: budget $55,500, spent $53,832
   Q2: budget $65,500, spent $63,629
   Q3: budget $58,000, spent $34,811
   Q4: budget $95,000, spent $75,201

2. Schedule (final deadline: 2026-08-27)
   - Tooling completion: 2026-01-19
   - Pilot production run: 2026-06-26

3. Suppliers
   - Nakamura Dynamics (London): laser diode, unit price $30.75, quantity 770, lead time 11 days
   - Njoroge Dynamics (Sydney): ceramic bearing, unit price $77.75, quantity 400, lead time 80 days

4. Reference identifiers
   Audit URL: https://hub.example.net/trace/94863
   Order ID: PO-V2W8ZJ

5. Assessment: overall delivery risk is rated low. The team will review progress against the 2026-08-27 deadline at the next steering meeting.

Answer: Nakamura Dynamics

Answer the following question using only the provided document.
Which supplier offers the lowest unit price? Answer with that supplier's company name only — exactly as written, but excluding the city shown in parentheses after it.
Return a JSON object of the form {"answer": <value>}. Return only the JSON object, with no other text, no explanation, and no code fences.


Project Falcon-7 — Status Report
Date: 2025-09-17  |  Author: Stefan Marchetti  |  Department: Training  |  Team size: 29

1. Budget and spend (USD)
   Q1: budget $67,500, spent $45,698
   Q2: budget $30,000, spent $25,116
   Q3: budget $33,500, spent $27,307
   Q4: budget $69,500, spent $54,382

2. Schedule (final deadline: 2025-10-28)
   - Pilot production run: 2025-10-23
   - Supplier onboarding: 2025-10-23

3. Suppliers
   - Ashworth Systems (Mumbai): titanium bracket, unit price $39.10, quantity 180, lead time 77 days
   - Kowalski Systems (Beijing): copper coil, unit price $34.55, quantity 200, lead time 85 days

4. Reference identifiers
   Order ID: PO-7B01PL
   Commit hash: 1e63ea45

5. Assessment: overall delivery risk is rated medium. The team will review progress against the 2025-10-28 deadline at the next steering meeting.

Answer: Q4

Answer the following question using only the provided document.
Which quarter has the largest budget? Answer with exactly one of "Q1", "Q2", "Q3", "Q4".
Return a JSON object of the form {"answer": <value>}. Return only the JSON object, with no other text, no explanation, and no code fences.


Project Granite-12 — Status Report
Date: 2025-10-13  |  Author: Alice Nakamura  |  Department: Quality Assurance  |  Team size: 40

1. Budget and spend (USD)
   Q1: budget $81,500, spent $76,572
   Q2: budget $80,500, spent $78,075
   Q3: budget $24,500, spent $21,900
   Q4: budget $26,000, spent $19,666

2. Schedule (final deadline: 2026-05-07)
   - Tooling completion: 2025-11-15
   - Field trial start: 2026-01-10

3. Suppliers
   - Okafor Group (Zurich): cooling manifold, unit price $42.10, quantity 120, lead time 80 days
   - Lindqvist Works (Berlin): servo motor, unit price $87.65, quantity 110, lead time 80 days

4. Reference identifiers
   Order ID: PO-435UPD
   Firmware version: v23.0.4

5. Assessment: overall delivery risk is rated medium. The team will review progress against the 2026-05-07 deadline at the next steering meeting.

Answer: Q1


Project Meridian-5 — Status Report
Date: 2026-02-12  |  Author: Priya Okafor  |  Department: Procurement  |  Team size: 20

1. Budget and spend (USD)
   Q1: budget $68,500, spent $58,649
   Q2: budget $39,000, spent $28,839
   Q3: budget $60,000, spent $54,773
   Q4: budget $82,500, spent $59,715

2. Schedule (final deadline: 2026-10-19)
   - Cost re-baseline: 2026-04-15
   - Safety inspection: 2026-09-09

3. Suppliers
   - Fairbanks Works (Amsterdam): titanium bracket, unit price $6.55, quantity 630, lead time 88 days
   - Ashworth Group (Paris): carbon panel, unit price $31.55, quantity 640, lead time 18 days

4. Reference identifiers
   Serial number: HZXX6-LLQGO
   Order ID: PO-2MT809

5. Assessment: overall delivery risk is rated high. The team will review progress against the 2026-10-19 deadline at the next steering meeting.

Answer: 88

Answer the following question using only the provided document.
What is the lead time, in days, of the supplier located in Amsterdam? Answer with an integer.
Return a JSON object of the form {"answer": <value>}. Return only the JSON object, with no other text, no explanation, and no code fences.


Project Prairie-7 — Status Report
Date: 2025-02-18  |  Author: Alice Devereux  |  Department: Human Resources  |  Team size: 29

1. Budget and spend (USD)
   Q1: budget $59,000, spent $46,423
   Q2: budget $63,000, spent $43,427
   Q3: budget $92,500, spent $65,623
   Q4: budget $48,000, spent $28,032

2. Schedule (final deadline: 2026-01-02)
   - Design freeze: 2025-07-11
   - Launch review: 2025-07-21

3. Suppliers
   - Delacroix Works (Lima): polymer gasket, unit price $34.35, quantity 550, lead time 66 days
   - Nakamura Materials (Sydney): optical sensor, unit price $91.55, quantity 860, lead time 12 days

4. Reference identifiers
   Firmware version: v2.0.19
   Access token: demo_r9ZVOHLOOSZF

5. Assessment: overall delivery risk is rated medium. The team will review progress against the 2026-01-02 deadline at the next steering meeting.

Answer: 66

Answer the following question using only the provided document.
What is the lead time, in days, of the supplier located in Lima? Answer with an integer.
Return a JSON object of the form {"answer": <value>}. Return only the JSON object, with no other text, no explanation, and no code fences.


Project Lantern-13 — Status Report
Date: 2025-10-25  |  Author: Felix Marchetti  |  Department: Quality Assurance  |  Team size: 16

1. Budget and spend (USD)
   Q1: budget $95,500, spent $85,403
   Q2: budget $82,000, spent $64,073
   Q3: budget $89,500, spent $61,456
   Q4: budget $38,500, spent $35,599

2. Schedule (final deadline: 2026-06-16)
   - Field trial start: 2026-03-17
   - Prototype delivery: 2026-06-06

3. Suppliers
   - Delacroix Industrial (Mumbai): servo motor, unit price $78.25, quantity 870, lead time 39 days
   - Devereux Group (Bangkok): membrane filter, unit price $86.20, quantity 750, lead time 90 days

4. Reference identifiers
   Firmware version: v17.7.17
   Access token: demo_319H7L14CNBI

5. Assessment: overall delivery risk is rated high. The team will review progress against the 2026-06-16 deadline at the next steering meeting.

Answer: Q1


Project Quartz-4 — Status Report
Date: 2026-01-10  |  Author: Amara Iyer  |  Department: Training  |  Team size: 25

1. Budget and spend (USD)
   Q1: budget $70,500, spent $61,070
   Q2: budget $70,000, spent $44,659
   Q3: budget $54,000, spent $40,802
   Q4: budget $79,500, spent $55,160

2. Schedule (final deadline: 2026-11-29)
   - Supplier onboarding: 2026-04-12
   - Logistics dry run: 2026-06-30

3. Suppliers
   - Petrov Materials (Zurich): glass substrate, unit price $32.40, quantity 140, lead time 30 days
   - Petrov Works (Seoul): cooling manifold, unit price $44.80, quantity 890, lead time 65 days

4. Reference identifiers
   Trace UUID: ec4b87fb-877a-1622-9f98-ef980b37fc24
   Audit URL: https://ops.example.com/export/88775

5. Assessment: overall delivery risk is rated low. The team will review progress against the 2026-11-29 deadline at the next steering meeting.

Answer: Petrov Materials


Project Granite-15 — Status Report
Date: 2026-03-15  |  Author: Dmitri Njoroge  |  Department: Maintenance  |  Team size: 24

1. Budget and spend (USD)
   Q1: budget $92,500, spent $61,086
   Q2: budget $89,500, spent $70,112
   Q3: budget $38,500, spent $32,587
   Q4: budget $32,500, spent $18,908

2. Schedule (final deadline: 2027-03-07)
   - Launch review: 2026-03-27
   - Supplier onboarding: 2026-07-07

3. Suppliers
   - Kowalski Dynamics (Chicago): lithium cell, unit price $84.20, quantity 80, lead time 66 days
   - Silva Systems (Dubai): ceramic bearing, unit price $11.45, quantity 280, lead time 21 days

4. Reference identifiers
   Audit URL: https://ops.example.com/report/11973
   Order ID: PO-UK1DY4

5. Assessment: overall delivery risk is rated medium. The team will review progress against the 2027-03-07 deadline at the next steering meeting.

Answer: Silva Systems