Research/Terra/ 914148
Task evidence / country-choropleth

Visualize agricultural contribution to GDP worldwide

PassComputational taskUnpublished draft
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The question

914148
Visualize agricultural contribution to GDP worldwide.
Exact submitted task and declared adaptations
Visualize agricultural contribution to GDP worldwide.

Task conventions: Use the frozen country polygons and World Bank NV.AGR.TOTL.ZS 2023 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 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.



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
14m 25s
Recorded Blue tool calls
61
Total tokens
2,011,414
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added the worldwide country choropleth to your map using the frozen World Bank `NV.AGR.TOTL.ZS` **2023** field in **% of GDP**. Legend: **five quantile classes** from **< 1.9246669%** up to **≥ 18.144718%**, plus a neutral **No data** class. The retained artifact keeps all **251** original country features; **153** have known values and **98** remain **No data**. Important limitation: this is a **country-level** indicator only, and unknowns stay unknown when the exact `ISO_A3` ↔ `Country Code` join does not match or the frozen 2023 value is missing. Next: you can inspect the new layer and its retained country data directly on the map. Sources: **Benchmark fixture · World Bank country boundaries** and **Benchmark fixture · World Bank NV.AGR.TOTL.ZS** (**Blue**; source revision not published in metadata; retrieved **2026-10-07**). ### Limitations - This map shows country-level percentages of GDP only. It is not a subnational surface or a new regional aggregation. - Nonmatching country codes and missing 2023 measurements remain unknown by design. They are not guessed, filled, or replaced with another year. - Countries without an exact code match or without a frozen 2023 measurement remain No data. - The observed frozen 2023 values are all positive in this output, so zero and negative handling was not exercised by actual rows in this year. - The delivered layer remains country-level only. - Countries without an exact code match or without a frozen 2023 value remain unknown. - Only exact code matches populate a value. - If repeated quantiles collapsed breaks the final class count would be reduced, but the tested method preserves that rule automatically.

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
153
Reported count
153
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 153,
  "actualCount": 153,
  "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 code join and quantile classification produce the required country artifact with retained unknowns, joined 2023 % of GDP values, and a distinct No data class?

assess_trial · completed · assessment: sufficient

The full-world trial answered the method question. The exact left join kept all 251 supplied country polygons and benchmark_row_id values. The joined 2023 field remained numeric with 98 nulls for unknown countries. The classifier preserved all 251 features, produced class field ag_gdp_class with class 0 reserved for No data, and created five quantile classes for the 153 known values using % of GDP units.

assess_result · failed · requested assessment: sufficient

I delivered a worldwide country choropleth from the supplied immutable inputs and added it to the current map as layer [resource id withheld]. The exact ISO_A3 to Country Code left join retained all 251 supplied country features and benchmark_row_id values. The classified output keeps the frozen 2023 numeric field in % of GDP, retains unknown countries, and uses five quantile classes plus a neutral No data class. The summary output reports 153 known countries, 98 unknown countries, quantile breaks at 1.92466694767704, 4.332831086496554, 8.778385608277242, and 18.144718129856102, and class counts 31, 30, 31, 30, 31 across classes 1 to 5 with 98 in class 0. Sources used: Benchmark fixture · World Bank country boundaries, provider Blue, source revision not published in collection metadata, retrieved 2026-10-07; Benchmark fixture · World Bank NV.AGR.TOTL.ZS, provider Blue, source revision not published in collection metadata, retrieved 2026-10-07.

assess_result · completed · assessment: sufficient

I delivered the retained final country choropleth and it is on the map as layer [resource id withheld]. The final workflow output keeps all 251 supplied country features and benchmark_row_id values, joins the frozen World Bank NV.AGR.TOTL.ZS 2023 field by exact ISO_A3 equals Country Code, and classifies known values into five quantile classes plus a neutral No data class. The final classification summary reports 153 known countries, 98 unknown countries, and quantile breaks at 1.92466694767704, 4.332831086496554, 8.778385608277242, and 18.144718129856102 % of GDP. Sources: Benchmark fixture · World Bank country boundaries (provider Blue; source revision not published in metadata; retrieved 2026-10-07) and Benchmark fixture · World Bank NV.AGR.TOTL.ZS (provider Blue; source revision not published in metadata; retrieved 2026-10-07).

Recorded workflow

  1. 01

    Frozen World Bank agriculture share of GDP table

    Recorded source · succeeded

  2. 02

    Quantile classification

    Recorded vector-classify · succeeded

  3. 03

    Frozen country polygons

    Recorded source · succeeded

  4. 04

    Agricultural contribution to GDP (2023)

    Recorded output · succeeded

  5. 05

    Join 2023 values to countries

    Recorded table-attribute-join · succeeded

  6. 06

    Frozen World Bank agriculture share of GDP table

    Recorded source · succeeded

  7. 07

    Quantile classification

    Recorded vector-classify · succeeded

  8. 08

    Frozen country polygons

    Recorded source · succeeded

  9. 09

    Join 2023 values to countries

    Recorded table-attribute-join · succeeded

  10. 10

    Join 2023 values to countries

    Recorded output · succeeded

  11. 11

    Quantile classification

    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’ll build the country join and classification from the supplied frozen inputs, keep unknowns as a separate “No data” class, and then add the finished choropleth layer to your map. First I’m checking the available Blue tools and any saved analysis context so I can reuse the right workflow path.

  2. get_collection

    Recorded tool call · completed

  3. get_map_context

    Recorded tool call · completed

  4. get_analysis

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. Progress update

    I found the core Blue tools. Next I’m reading the saved analysis context, the current map context, and the frozen input metadata so I can wire the exact item selections and test the join/classification method without guessing fields.

  7. list_processors

    Recorded tool call · completed

  8. list_processors

    Recorded tool call · completed

  9. list_processors

    Recorded tool call · completed

  10. get_tool_help

    Recorded tool call · completed

  11. get_tool_help

    Recorded tool call · completed

  12. Progress update

    I’ve confirmed the two key processors exist: an exact table-to-country attribute join and a quantitative vector classifier that already preserves zeros, negatives, break handling, and a separate No data class. I’m recording the analysis goal now, then I’ll inspect the supplied file schemas so I can test the join with the real field names before saving the production workflow.

  13. update_analysis_brief

    Recorded tool call · completed

  14. get_item

    Recorded tool call · completed

  15. get_item

    Recorded tool call · completed

  16. inspect_artifact

    Recorded tool call · failed

  17. describe_processors

    Recorded tool call · completed

  18. inspect_artifact

    Recorded tool call · failed

  19. Progress update

    I have the real source columns now. The boundary file has 251 country features with `ISO_A3` and `benchmark_row_id`, and the frozen indicator table has 266 rows with `Country Code` and a numeric `2023` field in `% of GDP`. The only remaining uncertainty is the exact workflow syntax for source selections and deliverables, so I’m pulling the processor/tool schemas and then running a small join-classify trial against the actual immutable items.

  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. Progress update

    I’m running one full-world private trial now. It uses the exact supplied country file and frozen indicator file, performs the exact `ISO_A3 = Country Code` left join, and then classifies the joined `2023` values into quantiles so I can inspect the real counts, field names, unknown handling, and legend-ready output before saving the final workflow.

  26. run_trial

    Recorded tool call · completed

  27. Progress update

    The method works on the real frozen inputs. In the trial, the exact left join kept all 251 country polygons, 153 countries got a known 2023 value, and 98 stayed unknown. The classifier also kept all 251 features and created a numeric class field with `0` reserved for No data and `1–5` for quantile classes. I’m inspecting the saved trial output and the proposal schema now so I can turn that tested method into the final map layer and inspectable artifact.

  28. get_tool_help

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. get_trial_report

    Recorded tool call · completed

  31. inspect_artifact

    Recorded tool call · completed

  32. get_tool_help

    Recorded tool call · completed

  33. Progress update

    I’ve confirmed the tested method on the real frozen data. Next I’m pulling the exact output receipts from that successful world-scale run so I can reuse the verified classified artifact, add it to the map, and record the final result without rerunning the same computation.

  34. get_tool_help

    Recorded tool call · completed

  35. get_tool_help

    Recorded tool call · completed

  36. get_tool_help

    Recorded tool call · completed

  37. inspect_workflow_results

    Recorded tool call · completed

  38. inspect_artifact

    Recorded tool call · completed

  39. inspect_artifact

    Recorded tool call · completed

  40. Progress update

    I’ve got the exact output receipts from the successful world run. Now I’m inspecting the classified artifact itself so I can verify the retained fields, the class counts, and the legend bounds before I bind the layer to the map and record the final answer.

  41. inspect_artifact

    Recorded tool call · completed

  42. Progress update

    I’ve verified the class counts and class breaks from the successful world-scale output: 153 countries have a known 2023 value, 98 are No data, and the classifier produced five quantile classes plus class `0` for missing values. I’m now locating the exact processor receipt for that classified output so I can add the same verified choropleth artifact to your map instead of rerunning it.

  43. assess_trial

    Recorded tool call · completed

  44. get_workflow_run

    Recorded tool call · completed

  45. list_processor_jobs

    Recorded tool call · completed

  46. list_map_layers

    Recorded tool call · completed

  47. get_collection

    Recorded tool call · completed

  48. get_tool_help

    Recorded tool call · completed

  49. get_tool_help

    Recorded tool call · completed

  50. get_item

    Recorded tool call · completed

  51. Progress update

    I’ve verified the output artifact and summary already. The last practical step is map binding: I’m checking the layer tool behavior against the classified output so I can attach the exact verified choropleth, with its legend, to your current map before I record the final answer.

  52. Progress update

    The classified artifact already carries its quantitative class metadata and a neutral No data category. I’m adding that exact retained item to the map now and then I’ll verify the live layer ID before I record the final result.

  53. add_catalog_layer

    Recorded tool call · completed

  54. update_analysis_brief

    Recorded tool call · completed

  55. list_map_layers

    Recorded tool call · completed

  56. get_map_context

    Recorded tool call · completed

  57. Progress update

    The layer has been added. I’m doing one quick map check now so the final record points to the actual live layer that displays the classified country artifact.

  58. Progress update

    I’ve finished the verification. I’m recording the selected classified artifact, the summary artifact that carries the class breaks, and the live map layer ID now so the final answer points to the exact delivered result.

  59. assess_result

    Recorded tool call · failed

  60. Progress update

    The trial artifact was good for method testing, but Blue won’t let me select a private trial output as the final delivered result. I’m saving the tested method as a proper workflow now, with the fixed join and quantile settings locked in, then I’ll run that final workflow and swap the map layer to the final retained artifact.

  61. get_tool_help

    Recorded tool call · completed

  62. get_tool_help

    Recorded tool call · completed

  63. get_tool_help

    Recorded tool call · completed

  64. propose_workflow

    Recorded tool call · completed

  65. Progress update

    The final workflow draft is valid and matches the tested world-scale method. I’m running it now so the final answer can point to a retained workflow output instead of the private trial artifact.

  66. execute_workflow

    Recorded tool call · completed

  67. Progress update

    The saved final workflow has completed, so I’m switching from the trial output to the retained final output now. I’ll inspect that exact final artifact, bind it to the map, and then record the accepted result against the workflow output rather than the private trial copy.

  68. Progress update

    I’m reading the retained workflow outputs now to pick the exact final item IDs. After that I’ll add that retained final item to the map and record the answer against it.

  69. inspect_workflow_results

    Recorded tool call · completed

  70. get_workflow_run

    Recorded tool call · completed

  71. Progress update

    I have the final retained item ID and its live map layer ID. I’m doing one last bounded inspection of that retained output and its summary so the accepted result uses the final artifact, not the earlier trial copy.

  72. inspect_artifact

    Recorded tool call · completed

  73. inspect_artifact

    Recorded tool call · completed

  74. get_item

    Recorded tool call · completed

  75. list_map_layers

    Recorded tool call · completed

  76. Progress update

    I have the final retained item and the final live layer already. I’m fetching the last immutable inspection receipt for that final artifact now, then I can file the accepted result against the retained workflow output.

  77. list_map_layers

    Recorded tool call · completed

  78. inspect_workflow_results

    Recorded tool call · completed

  79. inspect_artifact

    Recorded tool call · completed

  80. Progress update

    I’ve got everything needed from the retained final output: the final item, the inspected class summary, and the final live layer ID. I’m recording the accepted result now against that retained workflow output.

  81. assess_result

    Recorded tool call · completed

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