Research/Terra/ 252796
Task evidence / country-choropleth

Show the distribution of GDP per capita across different world regions

PassComputational taskUnpublished draft
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The question

252796
Show the distribution of GDP per capita across different world regions.
Exact submitted task and declared adaptations
Show the distribution of GDP per capita across different world regions.

Task conventions: Use the frozen country polygons and World Bank NY.GDP.PCAP.CD 2023 column, in current USD per capita. Use the published World Bank regional aggregates already present in the frozen table, not individual country values or a mean/sum computed from countries. Join original country geometry REGION_WB to table Country Name exactly. This selects the seven published all-income regional aggregates; Antarctica has no corresponding value and remains unknown. Nonmatching identifiers and missing measurements remain unknown; do not guess them or substitute another year. Retain every original country feature and 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. The reporting regions are the supplied World Bank REGION_WB groups. Every original country polygon carries its region’s published value; retain original boundaries and IDs rather than inventing regional geometry. This does not mean the country itself has that value. The five-quantile display classification operates on those original feature rows, so its breaks reflect repeated regional values; this is only a display convention, not population weighting or recomputation of the regional statistic. Label the map and answer as regional aggregates.



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": "GDP per capita",
    "edition": "Frozen WDI; current US dollars by year",
    "units": {
      "2023": "current USD per capita",
      "2020": "current USD per capita",
      "2022": "current USD per capita"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
22m 5s
Recorded Blue tool calls
70
Total tokens
3,195,463
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done. The map now shows the published World Bank regional GDP per capita aggregates for 2023 on the original country polygons, in current USD per capita. It covers 250 country polygons with known regional values, and 1 Antarctica polygon is shown as No data. The requested five quantiles collapsed to four legend classes because repeated regional values share the same breakpoints in this frozen dataset. The legend shows numeric bounds and a neutral No data class. Important limitation: this is a regional-aggregate display repeated across country polygons, not each country’s own GDP per capita. Sources: frozen World Bank country boundaries and frozen World Bank WDI NY.GDP.PCAP.CD 2023, retrieved in Blue on 2026-10-07. ### Limitations - This map repeats each reporting region’s published aggregate across its member country polygons; it does not show each country’s own GDP per capita. - Antarctica has no corresponding published value in this convention, and any nonmatching identifiers or missing measurements remain unknown. - The mapped value is the World Bank reporting region’s published 2023 aggregate repeated across country polygons; it is not a country-level GDP per capita estimate. - The requested five quantiles collapse to four display classes in this frozen dataset because repeated regional values reduce distinct quantile breaks.

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
250
Reported count
250
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 250,
  "actualCount": 250,
  "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 full-world exact REGION_WB to Country Name left join on the frozen inputs preserve every country polygon and benchmark_row_id, leave unmatched countries unknown, and produce a valid five-quantile choropleth from the published 2023 regional aggregate values?

assess_trial · completed · assessment: sufficient

The full-world left join preserved all 251 original country features and benchmark_row_id values. Join diagnostics showed 250 matched country features tied to 7 published World Bank regional aggregate rows and 1 unmatched feature, Antarctica, which remained unknown. The joined 2023 values ranged from 1,636.80874120826 to 78,675.4809268757 current USD per capita with 1 null. Quantile classification requested 5 classes but correctly collapsed to 4 because repeated regional values reduced distinct quantile breaks. Value-level inspection showed the reported break values 10,681.7330935615, 12,927.6838082962, and 29,483.4414501406 were assigned to classes 2, 3, and 4 respectively, so break-equal values enter the upper class as required.

assess_result · failed · requested assessment: sufficient

Final delivery succeeded. The resulting country artifact contains all 251 original country polygons and benchmark_row_id values, with 250 known published 2023 World Bank regional GDP per capita values and 1 unknown Antarctica row. The exact REGION_WB to Country Name left join matched 250 country features to 7 published regional aggregate rows and left Antarctica unmatched as unknown. The final artifact exposes the numeric 2023 field and the gdp_pc_class field. The requested five quantiles correctly collapsed to four classes because repeated regional values share breakpoints in this frozen dataset, while class 0 remains the distinct No data category. The final layer is bound to map layer [resource id withheld].

assess_result · completed · assessment: sufficient

Final delivery succeeded. The resulting country artifact retains all 251 original country polygons and benchmark_row_id values. It carries 250 known published 2023 World Bank regional GDP per capita values and 1 unknown Antarctica row. The exact REGION_WB to Country Name left join matched 250 country features to 7 published regional aggregate rows. The final artifact exposes the numeric 2023 field and the gdp_pc_class field. The requested five quantiles correctly collapsed to four classes because repeated regional values share breakpoints in this frozen dataset, and the finished layer is bound to map layer [resource id withheld].

Recorded workflow

  1. 01

    Quantile choropleth classes

    Recorded vector-classify · succeeded

  2. 02

    Frozen country polygons

    Recorded source · succeeded

  3. 03

    Regional GDP per capita 2023 choropleth

    Recorded output · succeeded

  4. 04

    Frozen GDP per capita table

    Recorded source · succeeded

  5. 05

    Join regional aggregate GDP values

    Recorded table-attribute-join · succeeded

  6. 06

    Quantile choropleth classes

    Recorded vector-classify · succeeded

  7. 07

    Frozen country polygons

    Recorded source · succeeded

  8. 08

    Frozen GDP per capita table

    Recorded source · succeeded

  9. 09

    Join regional aggregate GDP values

    Recorded table-attribute-join · succeeded

  10. 10

    Join regional aggregate GDP values

    Recorded output · succeeded

  11. 11

    Quantile choropleth classes

    Recorded output · succeeded

  12. 12

    Quantile choropleth classes

    Recorded output · 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’m checking the frozen inputs and the processor options first, then I’ll test the exact join and quantile method on a small private run before saving the production workflow.

  2. get_analysis

    Recorded tool call · completed

  3. get_map_context

    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. Progress update

    I found the exact fields we need: `REGION_WB` on the frozen country polygons and `Country Name` plus `2023` on the frozen GDP table. Now I’m checking the published regional rows and testing the join/classification logic before I save the full workflow.

  11. get_collection

    Recorded tool call · completed

  12. get_collection

    Recorded tool call · completed

  13. list_processors

    Recorded tool call · completed

  14. list_processors

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. update_analysis_brief

    Recorded tool call · completed

  17. describe_processors

    Recorded tool call · completed

  18. describe_processors

    Recorded tool call · completed

  19. describe_processors

    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. Progress update

    I have the exact join and classification processors. Next I’m running the smallest representative test: join all country polygons to the frozen 2023 regional rows, then classify the joined value into quantiles and inspect whether unknowns, repeated values, and legend classes behave the way the task requires.

  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. run_trial

    Recorded tool call · completed

  30. Progress update

    The private test succeeded. It kept all 251 country features, matched 250 through the exact regional join, left Antarctica unknown, and the requested five quantiles collapsed to four display classes because repeated regional values share breakpoints. I’m now saving the tested full-world method as the production workflow and then I’ll run it, inspect the final artifact, and bind the map layer.

  31. get_trial_report

    Recorded tool call · completed

  32. inspect_artifact

    Recorded tool call · completed

  33. inspect_artifact

    Recorded tool call · completed

  34. Progress update

    I found one material issue to confirm before I publish the final layer: the classifier summary reports four classes after tied-value collapse, which is expected, but its boundary note needs a quick value-level check because your convention requires break values to enter the upper class. I’m checking the actual class assignments on rows at the break values now, then I’ll save and run the final workflow.

  35. inspect_artifact

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. inspect_artifact

    Recorded tool call · completed

  38. inspect_artifact

    Recorded tool call · completed

  39. inspect_artifact

    Recorded tool call · completed

  40. inspect_artifact

    Recorded tool call · completed

  41. inspect_artifact

    Recorded tool call · completed

  42. Progress update

    I’m finishing the value-level check at the class breaks. If the break values land in the upper class, the tested method is ready exactly as requested; otherwise I’ll correct it before I publish the map layer.

  43. inspect_artifact

    Recorded tool call · completed

  44. inspect_artifact

    Recorded tool call · completed

  45. inspect_artifact

    Recorded tool call · completed

  46. inspect_artifact

    Recorded tool call · completed

  47. inspect_artifact

    Recorded tool call · completed

  48. inspect_artifact

    Recorded tool call · completed

  49. inspect_artifact

    Recorded tool call · completed

  50. read_evidence

    Recorded tool call · completed

  51. read_evidence

    Recorded tool call · completed

  52. get_tool_help

    Recorded tool call · completed

  53. Progress update

    The method is confirmed now: exact join coverage is 250 matched countries plus 1 unknown Antarctica, repeated regional values collapse the requested five quantiles to four display classes, and break values do go into the upper class. I’m recording that trial judgment, then I’ll save and run the final workflow from this tested computation.

  54. assess_trial

    Recorded tool call · completed

  55. update_analysis_brief

    Recorded tool call · completed

  56. get_tool_help

    Recorded tool call · completed

  57. get_tool_help

    Recorded tool call · completed

  58. Progress update

    I’ve got a tested method for the full world already, so I’m saving that exact computation as the production workflow now. If validation passes, I’ll run it without changing the science, then inspect the delivered artifact and map layer.

  59. propose_workflow

    Recorded tool call · completed

  60. execute_workflow

    Recorded tool call · completed

  61. Progress update

    The final workflow finished. I’m inspecting the delivered output and binding it to the map now, then I’ll record the accepted result with the exact artifact selection and layer ID.

  62. get_workflow_run

    Recorded tool call · completed

  63. inspect_workflow_results

    Recorded tool call · completed

  64. list_map_layers

    Recorded tool call · completed

  65. Progress update

    I’ve confirmed the final layer is on the map. I’m doing the last bounded inspection now: the delivered country artifact, the Antarctica unknown row, and the final legend summary, then I’ll record the accepted result object.

  66. inspect_artifact

    Recorded tool call · completed

  67. inspect_artifact

    Recorded tool call · completed

  68. inspect_artifact

    Recorded tool call · completed

  69. Progress update

    I’m just verifying the final legend and the single No data case now so the accepted result reflects the actual delivered layer, not just the earlier trial.

  70. inspect_artifact

    Recorded tool call · completed

  71. inspect_artifact

    Recorded tool call · completed

  72. inspect_artifact

    Recorded tool call · completed

  73. update_analysis_brief

    Recorded tool call · completed

  74. inspect_artifact

    Recorded tool call · completed

  75. inspect_artifact

    Recorded tool call · completed

  76. Progress update

    I’m verifying the break values directly on the delivered layer now so the final assessment is based on the finished map artifact itself, not just the matching trial copy.

  77. inspect_artifact

    Recorded tool call · completed

  78. assess_result

    Recorded tool call · failed

  79. inspect_artifact

    Recorded tool call · completed

  80. inspect_artifact

    Recorded tool call · completed

  81. inspect_artifact

    Recorded tool call · completed

  82. Progress update

    I’ve got the completed break-value inspections queued from the delivered layer. I’m fetching those exact receipts now so the final acceptance check is based entirely on the finished map artifact.

  83. assess_result

    Recorded tool call · completed

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