Research/Terra/ 826615
Task evidence / country-choropleth

Show agricultural GDP contribution in Nordic countries

PassComputational taskUnpublished draft
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The question

826615
Show agricultural GDP contribution in Nordic countries
Exact submitted task and declared adaptations
Show agricultural GDP contribution in Nordic countries

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 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 ["Denmark", "Finland", "Iceland", "Norway", "Sweden"]; 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
13m 31s
Recorded Blue tool calls
39
Total tokens
2,521,791
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the layer is on your map. It shows the supplied frozen World Bank 2023 agricultural value added share, in % of GDP, for the five requested Nordic country features. Four have known values. One Norway feature is shown as No data because its supplied ISO_A3 is `-99`, so the required exact code join could not match a World Bank country code. The legend uses five quantile classes over those five features, with a separate No data category. Numeric breaks are 1.3755, 1.7886, 2.3466, and 3.0743 % of GDP. One numeric class is empty because only four countries have known 2023 values. Sources: Blue benchmark fixture of World Bank country boundaries (GeoBenchX harmonized names) and Blue frozen World Bank NV.AGR.TOTL.ZS 2023 table; retrieved 2026-10-07. Click a country or open the legend to inspect its value and class. ### Limitations - One retained country feature remains unknown because its supplied ISO_A3 value is -99 and the required exact join leaves it unmatched. - Only four countries have known numeric values, so one numeric class is empty. - One retained country feature remains unknown because the supplied Norway boundary row has ISO_A3 = -99 and the required exact join leaves it unmatched. - Only four countries have known 2023 values, so one numeric class is empty even though the requested five-class quantile scheme is preserved. - The supplied Norway feature uses ISO_A3 -99 in this benchmark edition. - Exact code matching leaves the Norway row unknown because -99 does not match a Country Code. - Only four countries have known numeric values, so one numeric class is empty while the five-class quantile scheme is preserved.

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
4
Reported count
4
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 4,
  "actualCount": 4,
  "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 NAME_EN filter plus ISO_A3 to Country Code left join expose the frozen 2023 agricultural GDP value as a usable numeric field while preserving all five requested Nordic country features and their benchmark_row_id values?

assess_trial · completed · assessment: sufficient

The exact NAME_EN filter returned 5 features: Denmark, Finland, Iceland, Norway, and Sweden. The left join on ISO_A3 to Country Code preserved all 5 features and benchmark_row_id values. The frozen indicator field is named 2023 and contains 4 known numeric values plus 1 unknown from the unmatched ISO_A3 sentinel -99 on Norway. The classification output preserves all 5 rows, uses agr_pct_class with 0 for No data, and reports quantile breaks at 1.375473590777406, 1.7886119663417301, 2.34656766965837, and 3.0742752343586583 in % of GDP.

assess_result · completed · assessment: sufficient

The production workflow delivered 5 original benchmark country features and added the map layer [resource id withheld]. The final artifact preserves geometry and benchmark_row_id for Denmark, Finland, Iceland, Norway, and Sweden. Field 2023 contains 4 known values in % of GDP and 1 unknown for Norway, whose supplied ISO_A3 is -99; agr_pct_class uses 0 for No data. The classification summary reports quantile breaks at 1.375473590777406, 1.7886119663417301, 2.34656766965837, and 3.0742752343586583 % of GDP, requestedClasses 5, classCount 5, knownCount 4, and missingCount 1.

Recorded workflow

  1. 01

    Classify 2023 agricultural GDP share

    Recorded vector-classify · succeeded

  2. 02

    Nordic agricultural GDP contribution 2023

    Recorded output · succeeded

  3. 03

    Join frozen 2023 agricultural share

    Recorded table-attribute-join · succeeded

  4. 04

    Keep requested Nordic country rows

    Recorded vector-filter · succeeded

  5. 05

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  6. 06

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  7. 07

    Classify 2023 agricultural GDP share

    Recorded vector-classify · succeeded

  8. 08

    Join frozen 2023 agricultural share

    Recorded table-attribute-join · succeeded

  9. 09

    Keep requested Nordic country rows

    Recorded vector-filter · succeeded

  10. 10

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  11. 11

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  12. 12

    Keep requested Nordic country rows

    Recorded output · succeeded

  13. 13

    Join frozen 2023 agricultural share

    Recorded output · succeeded

  14. 14

    Classify 2023 agricultural GDP share

    Recorded output · succeeded

  15. 15

    Classify 2023 agricultural GDP share

    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 use the supplied frozen boundaries and 2023 World Bank value, keep every matching Nordic country feature including unknowns, then build the fixed five-class choropleth and add it to the map. First I’m checking the saved analysis context and the exact Blue actions available for join, styling, and delivery.

  2. get_analysis

    Recorded tool call · completed

  3. Progress update

    I found no saved brief for this task, so I’m setting one up now and then inspecting the two supplied frozen inputs to confirm the exact boundary and indicator fields before I test the join and quantile classes.

  4. get_collection

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. list_processors

    Recorded tool call · completed

  9. describe_processors

    Recorded tool call · completed

  10. describe_processors

    Recorded tool call · completed

  11. get_tool_help

    Recorded tool call · completed

  12. inspect_artifact

    Recorded tool call · failed

  13. inspect_artifact

    Recorded tool call · failed

  14. get_tool_help

    Recorded tool call · completed

  15. Progress update

    To avoid guessing columns, I need one small private source inspection next. I’ve confirmed the three right processors exist: filter the supplied boundary rows, join the frozen table by code, then classify the numeric field with a real legend and a separate No data category. Now I’m checking the exact trial input shape so I can inspect the actual source fields before I save the full workflow.

  16. update_analysis_brief

    Recorded tool call · completed

  17. Progress update

    The first trial call was just an argument mistake: `inspect_outputs` belongs at the request level, not inside `computation`. I’m resending the same test unchanged so I can inspect the actual fields and counts instead of guessing them.

  18. run_trial

    Recorded tool call · completed

  19. Progress update

    The trial completed in the background, and it answered the key method question: the name filter keeps 5 Nordic country rows, the exact ISO_A3→Country Code left join keeps all 5 with 1 unmatched `-99` sentinel as unknown, and the frozen 2023 value field is indeed named `2023`. I’m checking the output rows and legend details now, then I’ll save the tested production workflow and add the verified country layer to the map.

  20. get_trial_report

    Recorded tool call · completed

  21. inspect_artifact

    Recorded tool call · completed

  22. Progress update

    The test method is now confirmed. I’m recording that result, then I’ll save the exact tested workflow as the production run so I can add the verified choropleth to the map and deliver the final artifact with counts and class fields.

  23. inspect_artifact

    Recorded tool call · completed

  24. assess_trial

    Recorded tool call · completed

  25. Progress update

    I have enough evidence to save the exact method now. I’m refreshing the analysis notes so only the real remaining limitation stays visible: one supplied Norway feature keeps an unknown value because its frozen ISO_A3 is `-99`, which the required exact code join must leave unmatched.

  26. update_analysis_brief

    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. get_tool_help

    Recorded tool call · completed

  32. get_tool_help

    Recorded tool call · completed

  33. get_tool_help

    Recorded tool call · completed

  34. Progress update

    I’m saving the exact tested computation, not rebuilding it. That keeps the same verified filter, exact join, and quantile settings for the final run.

  35. propose_workflow

    Recorded tool call · completed

  36. get_tool_help

    Recorded tool call · completed

  37. Progress update

    The saved draft found two bookkeeping fixes, not a method problem: the contract scope has to match the copied trial scope exactly, and fixed parameter paths are relative to processor inputs. I’m correcting those directly in the saved draft and revalidating it.

  38. revise_workflow

    Recorded tool call · completed

  39. Progress update

    The workflow is now valid and runnable. I’m executing that saved version, then I’ll inspect the final artifact and map binding before I answer.

  40. execute_workflow

    Recorded tool call · completed

  41. Progress update

    The production run finished successfully in the background. I’m inspecting its final output and summary now, then I’ll add the verified classified layer to the map and record the final answer object with the exact artifact selection.

  42. inspect_workflow_results

    Recorded tool call · completed

  43. Progress update

    The final map output is there, including a confirmed map layer ID. I’m doing one bounded inspection of the delivered country artifact and one of the classification summary so the final answer can cite the exact rows, counts, and legend breaks from the production run.

  44. inspect_artifact

    Recorded tool call · completed

  45. inspect_artifact

    Recorded tool call · completed

  46. Progress update

    The run is complete and the final layer is already on the map. I’m just collecting the immutable inspection receipts for the delivered artifact and the legend summary, then I’ll record the final result with the exact map layer ID and artifact selection.

  47. get_tool_help

    Recorded tool call · completed

  48. get_tool_help

    Recorded tool call · completed

  49. Progress update

    I still need the immutable inspection receipt for the delivered country rows and the summary rows. Once those two receipts are in hand, I can close the result cleanly.

  50. inspect_artifact

    Recorded tool call · completed

  51. inspect_artifact

    Recorded tool call · completed

  52. Progress update

    I’ve verified the delivered rows and the class summary. I’m checking the current map layer list once so the final answer cites the live layer that displays this artifact, not just the add receipt.

  53. list_map_layers

    Recorded tool call · completed

  54. Progress update

    I have the final evidence now: the delivered artifact rows, the legend breaks, the exact join coverage, and the live map layer ID. I’m recording the final result so the map keeps this layer and Blue binds the machine-readable answer to the inspected artifact.

  55. assess_result

    Recorded tool call · completed

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