Research/Terra/ 894468
Task evidence / country-choropleth

Show agricultural GDP contribution in Himalayan nations

PassComputational taskUnpublished draft
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The question

894468
Show agricultural GDP contribution in Himalayan nations.
Exact submitted task and declared adaptations
Show agricultural GDP contribution in Himalayan nations.

Task conventions: Use the frozen country polygons and World Bank NV.AGR.TOTL.ZS 2022 column, in % of GDP. These are country-level indicators, not a subnational surface or a new regional aggregation. Join the supplied ISO_A3 to Country Code exactly. Nonmatching identifiers and missing measurements remain unknown; do not guess them or substitute another year. Retain every original country feature in the declared geography and its benchmark_row_id, including unknowns. No data must have a distinct map category, not zero. Create a quantitative choropleth with five quantile classes (fewer only if tied values collapse breaks), a visible legend with numeric bounds and units, and a neutral No data category. Values equal to a class break enter the upper class. Preserve negative and genuine zero values. This fixed classification and year are disclosed evaluation conventions; do not retrieve live replacements. Count original boundary features, not deduplicated sovereign states; preserve all source rows that meet the declared geography. Country-code sentinels such as -99 remain unmatched. Geography is fixed to original country features with NAME_EN in ["Nepal", "Bhutan", "India", "China", "Pakistan"]; retain all matching source geometries, and no others. Classification is calculated only over this geography. Membership reflects this disclosed benchmark edition, not current organization membership.



Add the resulting quantitative country layer to the map and retain an inspectable data artifact containing the original country geometry, benchmark_row_id, numeric value and class. End with one fenced JSON object: {count: countries with a known numeric value, unknown_count: countries without one, coverage_note: string, selection: {collectionId, itemId, assetKey}, value_field: numeric_column_name, class_field: classification_column_name, map_layer_id: delivered_layer_id}. The artifact must include known AND unknown countries, not only the known subset. Explain the year, units, key limitations and legend in the final response.

Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.

Supplied immutable inputs:
[
  {
    "name": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank NV.AGR.TOTL.ZS",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "% of GDP"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
15m 4s
Recorded Blue tool calls
62
Total tokens
2,770,945
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added **Agricultural GDP contribution by country (2022)** to your map. 2022 values, in **% of GDP**: - China: **7.321760** - Bhutan: **14.671009** - India: **16.639431** - Nepal: **20.914370** - Pakistan: **22.348042** Legend: - **< 13.201159** - **13.201159 to < 15.852062** - **15.852062 to < 18.349407** - **18.349407 to < 21.201104** - **≥ 21.201104 % of GDP** - **No data** is a separate neutral class, but it is unused here because all 5 selected benchmark country features have known 2022 values. Limitation: this is a **country-level 2022 indicator only**. It does not show subnational variation or create a new Himalayan regional aggregate. Sources: supplied **GeoBenchX harmonized World Bank country boundaries** and supplied **frozen GeoBenchX World Development Indicators NV.AGR.TOTL.ZS** snapshot, retrieved **2026-10-07**. ### Limitations - Country-level indicator only; it does not show subnational variation or a new regional aggregate. - All 5 selected benchmark country rows have known 2022 values, so the neutral No data category is present but unused in this benchmark output.

Independent checks

These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.

Expected count
5
Reported count
5
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 5,
  "actualCount": 5,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": true,
  "adjudication": null,
  "qualification": null,
  "reasons": []
}

Recorded investigation findings

The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.

run_trial · completed

Does the exact benchmark method preserve the five named country rows, join the frozen World Bank table on ISO_A3 = Country Code, keep unknowns as null, and produce the requested 2022 quantile choropleth classification with a separate No data class?

assess_trial · completed · assessment: sufficient

The private trial retained exactly 5 benchmark country rows with the requested names, preserved benchmark_row_id, joined all 5 rows by exact ISO_A3 = Country Code, and used the frozen 2022 NV.AGR.TOTL.ZS values in % of GDP. The classifier produced 5 quantile classes over the 5 known values, with class 0 reserved for No data and missingCount 0 in this benchmark subset. The published category labels and boundary convention place break-equal values in the upper class.

assess_result · completed · assessment: sufficient

The final production output contains the 5 benchmark country features for Bhutan, China, India, Nepal, and Pakistan, with preserved benchmark_row_id, exact ISO_A3-to-Country Code joins, the 2022 NV.AGR.TOTL.ZS value in % of GDP, and five quantile classes. The quantitative layer is on the map, and the legend shows five numeric class ranges plus a neutral No data category. In this fixed benchmark geography all 5 countries have known 2022 values, so the No data class is available but unused.

Recorded workflow

  1. 01

    Frozen agricultural GDP table

    Recorded source · succeeded

  2. 02

    Classify agricultural GDP share

    Recorded vector-classify · succeeded

  3. 03

    Frozen country boundaries

    Recorded source · succeeded

  4. 04

    Filter named benchmark country rows

    Recorded vector-filter · succeeded

  5. 05

    Agricultural GDP contribution by country (2022)

    Recorded output · succeeded

  6. 06

    Join World Bank 2022 values

    Recorded table-attribute-join · succeeded

  7. 07

    Create named 2022 value field

    Recorded vector-field-calculate · succeeded

  8. 08

    Frozen agricultural GDP table

    Recorded source · succeeded

  9. 09

    Classify agricultural GDP share

    Recorded vector-classify · succeeded

  10. 10

    Frozen country boundaries

    Recorded source · succeeded

  11. 11

    Filter named benchmark country rows

    Recorded vector-filter · succeeded

  12. 12

    Join World Bank 2022 values

    Recorded table-attribute-join · succeeded

  13. 13

    Filter named benchmark country rows

    Recorded output · succeeded

  14. 14

    Join World Bank 2022 values

    Recorded output · succeeded

  15. 15

    Classify agricultural GDP share

    Recorded output · succeeded

  16. 16

    Create named 2022 value field

    Recorded vector-field-calculate · succeeded

Activity

Recorded actions

Recorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.

  1. Progress update

    I’ll inspect the saved analysis context and the two supplied datasets first, then build a small tested method that keeps the original country rows and marks unmatched or missing values as “No data.”

  2. Progress update

    I found the Blue workflow tools. Next I’m checking the saved brief and the two supplied snapshots so I can use the exact boundary rows and the exact indicator column you specified, without substituting years or country matches.

  3. get_analysis

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_item

    Recorded tool call · completed

  7. get_item

    Recorded tool call · completed

  8. inspect_artifact

    Recorded tool call · failed

  9. inspect_artifact

    Recorded tool call · failed

  10. list_processors

    Recorded tool call · completed

  11. get_tool_help

    Recorded tool call · completed

  12. get_tool_help

    Recorded tool call · completed

  13. Progress update

    I confirmed the frozen indicator snapshot really has both 2022 and 2023 columns. The next step is a small private test that reads just the supplied rows, filters the five named countries, and checks the exact join and quantile classification before I save the production workflow.

  14. describe_processors

    Recorded tool call · completed

  15. describe_processors

    Recorded tool call · completed

  16. describe_processors

    Recorded tool call · completed

  17. describe_processors

    Recorded tool call · completed

  18. Progress update

    I have the core method now: filter the supplied boundaries to the five named country rows, left-join the frozen World Bank table on `ISO_A3 = Country Code`, then classify the 2022 value field with a five-quantile country choropleth so unknowns stay as a separate “No data” class. I’m checking the workflow schema next so the saved draft delivers both the inspectable artifact and the map layer cleanly.

  19. get_tool_help

    Recorded tool call · completed

  20. get_tool_help

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. get_tool_help

    Recorded tool call · completed

  24. get_tool_help

    Recorded tool call · completed

  25. get_tool_help

    Recorded tool call · completed

  26. get_tool_help

    Recorded tool call · completed

  27. get_tool_help

    Recorded tool call · completed

  28. get_tool_help

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. get_tool_help

    Recorded tool call · completed

  31. update_analysis_brief

    Recorded tool call · completed

  32. get_tool_help

    Recorded tool call · completed

  33. run_trial

    Recorded tool call · completed

  34. Progress update

    The method test finished and it worked on the supplied frozen data: five country rows were kept, all five joined by exact country code, and the 2022 values classified cleanly. I’m inspecting the tested output now so I can save the final workflow, add the derived layer to the map, and deliver the exact artifact reference.

  35. get_trial_report

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. inspect_artifact

    Recorded tool call · completed

  38. Progress update

    I’ve already proved the method on the frozen benchmark inputs. Now I’m pulling the exact row values, class field, and processor receipt so the delivered layer points to the derived country dataset, not just the private trial check.

  39. inspect_artifact

    Recorded tool call · completed

  40. inspect_workflow_results

    Recorded tool call · completed

  41. inspect_artifact

    Recorded tool call · completed

  42. Progress update

    I already have the five country values and classes. I’m checking the classifier’s summary next so I can verify the legend ranges and the neutral “No data” behavior before I publish the final layer.

  43. inspect_artifact

    Recorded tool call · completed

  44. get_workflow_run

    Recorded tool call · completed

  45. Progress update

    The classification summary is clear: five known values, five quantile classes, missing count 0, and class `0` reserved for “No data.” I’m identifying the displayable output now so I can bind the derived choropleth to the map instead of just keeping it as a table.

  46. list_processor_jobs

    Recorded tool call · completed

  47. list_map_layers

    Recorded tool call · completed

  48. get_collection

    Recorded tool call · completed

  49. get_item

    Recorded tool call · completed

  50. assess_trial

    Recorded tool call · completed

  51. get_tool_help

    Recorded tool call · completed

  52. Progress update

    The tested method is now stable. I’m saving it as the production workflow with the same exact filter, join key, year, and five-quantile classification so the final layer can reuse the verified computation instead of rebuilding a different one.

  53. Progress update

    I’ve saved the tested method as a workflow draft. If validation succeeds cleanly, I’ll run it and then bind the derived classified country output to the map.

  54. propose_workflow

    Recorded tool call · completed

  55. Progress update

    The saved draft is close, but Blue blocked it because the copied trial still carries a world-sized scope while the contract names the five-country study area. I’m correcting that bookkeeping so the runnable workflow matches the actual geography of the task.

  56. get_workflow

    Recorded tool call · completed

  57. get_workflow

    Recorded tool call · completed

  58. get_tool_help

    Recorded tool call · completed

  59. get_tool_help

    Recorded tool call · completed

  60. Progress update

    I found the saved node areas. They still use the copied world snapshot extent, so I’m replacing those with the actual five-country envelope and matching contract scope in one revision.

  61. get_workflow

    Recorded tool call · completed

  62. get_workflow

    Recorded tool call · completed

  63. revise_workflow

    Recorded tool call · completed

  64. execute_workflow

    Recorded tool call · completed

  65. Progress update

    The production run appears to have finished in the background. I’m verifying the final output receipts and legend summary from that run now, then I’ll bind the derived country layer to the map and record the final answer object.

  66. Progress update

    I’ve got the approved workflow revision and the completed run receipt. Next I’m inspecting the final derived item itself, not the earlier trial copy, so the delivered selection and map layer point to the exact production output.

  67. get_workflow_run

    Recorded tool call · completed

  68. inspect_workflow_results

    Recorded tool call · completed

  69. Progress update

    I’ve got the final run’s item ID and map layer ID. I’m checking the final derived item’s rows and legend metadata one last time so the accepted result points to the exact displayed output.

  70. inspect_artifact

    Recorded tool call · completed

  71. inspect_artifact

    Recorded tool call · completed

  72. get_item

    Recorded tool call · completed

  73. list_map_layers

    Recorded tool call · completed

  74. Progress update

    The final output already has a verified map receipt from the production run. I’m just fetching the finished preview receipt and checking the active map layer list once more so the final assessment references the exact displayed artifact.

  75. inspect_artifact

    Recorded tool call · completed

  76. list_map_layers

    Recorded tool call · completed

  77. Progress update

    I’ve verified the final production artifact, legend, and live map layer. I’m refreshing the brief notes so they match the completed work, then I’ll record the accepted final result object.

  78. update_analysis_brief

    Recorded tool call · completed

  79. Progress update

    I’ve verified the exact final artifact, the classifier summary, and the live map layer. I’m recording the accepted result now with the explicit selection, field names, counts, and map layer ID you asked for.

  80. assess_result

    Recorded tool call · completed

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