Research/Terra/ 598665
Task evidence / country-choropleth

Show agricultural productivity across Mediterranean countries

PassComputational taskUnpublished draft
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The question

598665
Show agricultural productivity across Mediterranean countries.
Exact submitted task and declared adaptations
Show agricultural productivity across Mediterranean countries.

Task conventions: Use the frozen country polygons and World Bank NV.AGR.TOTL.ZS 2021 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 SUBREGION in ["Southern Europe", "Northern Africa", "Western Asia"]; 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. The archived benchmark uses agriculture's share of GDP as its economic indicator. Label it accurately: this is not yield, production volume or labor productivity. The Mediterranean case follows its disclosed three-subregion approximation, not a coastal buffer.



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
12m 57s
Recorded Blue tool calls
40
Total tokens
2,549,137
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the layer is on your map. It shows World Bank NV.AGR.TOTL.ZS for 2021, measured as agriculture value added (% of GDP), across the fixed Mediterranean benchmark geography. I kept all 41 benchmark country features; 37 have known values and 4 are shown as No data. Legend: five quantile classes plus a neutral No data class. The class breaks are 1.29, 2.36, 5.33, and 7.21 % of GDP, and values on a break go into the higher class. Key limits: this is a country-level GDP-share indicator, not yield, production volume, labor productivity, or a subnational surface. The geography follows the fixed Southern Europe / Northern Africa / Western Asia benchmark approximation. The four No data countries remain unknown because the benchmark code did not match or the supplied 2021 value is missing. Sources: Frozen World Bank country boundaries benchmark fixture and Frozen GeoBenchX World Development Indicators NV.AGR.TOTL.ZS benchmark fixture, hosted by Blue, retrieved 2026-10-07. ### Limitations - This benchmark shows agriculture value added as a share of GDP at country level. It is not a subnational productivity surface, yield map, or labor-productivity map. - The geography follows the fixed benchmark edition and its Southern Europe, Northern Africa, and Western Asia approximation, not a coastal buffer or current membership list. - Unknown countries remain in a neutral No data category when the benchmark code does not match or the supplied 2021 value is missing. - This is a country-level 2021 agriculture share of GDP map, not a subnational productivity surface, yield map, production-volume map, or labor-productivity map. - The geography is the fixed benchmark approximation using Southern Europe, Northern Africa, and Western Asia, not a coastal buffer or current membership list. - Four countries remain No data because the benchmark code did not match or the supplied 2021 measurement is missing.

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
37
Reported count
37
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 37,
  "actualCount": 37,
  "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 workflow keep every Mediterranean benchmark country feature, join the supplied 2021 value by ISO_A3 to Country Code, and produce the requested quantile choropleth with unknowns preserved?

assess_trial · completed · assessment: sufficient

The full benchmark draft preserved 41 country features in the disclosed three-subregion geography. The exact left join from ISO_A3 to Country Code matched 39 features and preserved 2 unmatched codes (-99 for Kosovo and VAT for Vatican City) plus 2 rows with missing 2021 values, for 4 unknown countries total. The choropleth classified the 37 known 2021 values into 5 quantile classes and kept unknowns in class 0 as No data.

assess_result · completed · assessment: sufficient

The delivered Mediterranean benchmark layer preserves all 41 original country features in the fixed three-subregion geography. It contains 37 known NV.AGR.TOTL.ZS 2021 values and 4 No data countries, using five quantile classes with breaks at 1.2888400428764901, 2.360287052125344, 5.327979007719593, and 7.21135166516943 % of GDP.

Recorded workflow

  1. 01

    Supplied benchmark boundaries

    Recorded source · succeeded

  2. 02

    Quantile choropleth classification

    Recorded vector-classify · succeeded

  3. 03

    Mediterranean agriculture share of GDP, 2021

    Recorded output · succeeded

  4. 04

    Supplied benchmark agriculture indicator

    Recorded source · succeeded

  5. 05

    Exact ISO_A3 to Country Code join

    Recorded table-attribute-join · succeeded

  6. 06

    Mediterranean benchmark geography

    Recorded vector-filter · succeeded

  7. 07

    Supplied benchmark boundaries

    Recorded source · succeeded

  8. 08

    Quantile choropleth classification

    Recorded vector-classify · succeeded

  9. 09

    Supplied benchmark agriculture indicator

    Recorded source · succeeded

  10. 10

    Exact ISO_A3 to Country Code join

    Recorded table-attribute-join · succeeded

  11. 11

    Mediterranean benchmark geography

    Recorded vector-filter · succeeded

  12. 12

    Exact ISO_A3 to Country Code join

    Recorded output · succeeded

  13. 13

    Quantile choropleth classification

    Recorded output · succeeded

  14. 14

    Quantile choropleth 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’m checking the available Blue tools, then I’ll verify the two supplied datasets and build the country join exactly as requested. After that I’ll test the classification on a small private draft before I produce the final map layer and data artifact.

  2. get_analysis

    Recorded tool call · completed

  3. get_map_context

    Recorded tool call · completed

  4. Progress update

    I found no saved brief yet. I’m recording the exact outcome now: one country-level Mediterranean layer from the supplied frozen boundaries and frozen World Bank 2021 value, with unknowns preserved. Next I’m checking the two inputs so I can test the join and the five-class quantile rule without guessing field names.

  5. update_analysis_brief

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. get_item

    Recorded tool call · completed

  9. get_item

    Recorded tool call · completed

  10. Progress update

    The two supplied inputs are confirmed and immutable. Next I’m reading their exact file profiles so I can use the benchmark fields as-is: country subregion, benchmark_row_id, ISO_A3, Country Code, and the 2021 value column.

  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. list_processors

    Recorded tool call · completed

  17. describe_processors

    Recorded tool call · completed

  18. describe_processors

    Recorded tool call · completed

  19. Progress update

    I’ve confirmed the processors I need: filter the benchmark geography, left-join the frozen 2021 table by exact code, then classify the joined value into quantiles. I’m running that as one small private draft now so I can inspect the real match counts, the preserved unknowns, and the class breaks before I save the production layer.

  20. get_tool_help

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. run_trial

    Recorded tool call · completed

  23. update_analysis_brief

    Recorded tool call · completed

  24. Progress update

    The first trial was blocked by a brief formatting issue, not by the data. I recorded the study extent again as numeric CRS84 coordinates so I can rerun the same exact draft.

  25. get_trial_report

    Recorded tool call · completed

  26. Progress update

    The private draft worked on the full benchmark scope: 41 original country features were kept, 37 have a known 2021 value, and 4 stay No data under the exact join rule. I’m saving that exact tested method as the final workflow now, then I’ll run it, inspect the delivered artifact, and bind the finished layer to the map.

  27. inspect_artifact

    Recorded tool call · completed

  28. inspect_artifact

    Recorded tool call · completed

  29. Progress update

    I’ve already verified the full-scope draft. I’m checking a bounded table preview now so I can confirm the retained fields and unknown rows before I lock in the final output and map layer.

  30. Progress update

    The draft is now inspected enough to promote: the geography is correct, the join kept all 41 source features, and the four unknown rows stayed distinct. I’m saving that tested computation as the production workflow next so I can deliver a stable final artifact and attach it to the map.

  31. assess_trial

    Recorded tool call · completed

  32. get_tool_help

    Recorded tool call · completed

  33. get_tool_help

    Recorded tool call · completed

  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. get_tool_help

    Recorded tool call · completed

  38. get_tool_help

    Recorded tool call · completed

  39. get_tool_help

    Recorded tool call · completed

  40. propose_workflow

    Recorded tool call · completed

  41. execute_workflow

    Recorded tool call · completed

  42. Progress update

    The production workflow is validated and matches the tested draft. I’m running that exact version now, then I’ll inspect the delivered artifact and attach the finished layer to the map.

  43. inspect_workflow_results

    Recorded tool call · completed

  44. inspect_artifact

    Recorded tool call · completed

  45. inspect_artifact

    Recorded tool call · completed

  46. list_map_layers

    Recorded tool call · completed

  47. Progress update

    I have the delivered layer on the map. I’m fetching the final preview receipt from that exact delivered artifact now, then I’ll record the verified counts, legend breaks, and map layer ID in the accepted result.

  48. inspect_artifact

    Recorded tool call · completed

  49. update_analysis_brief

    Recorded tool call · completed

  50. assess_result

    Recorded tool call · completed

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