Research/Terra/ 460208
Task evidence / country-choropleth

Map total population distribution globally

PassComputational taskUnpublished draft
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The question

460208
Map total population distribution globally.
Exact submitted task and declared adaptations
Map total population distribution globally.

Task conventions: Use the frozen country polygons and World Bank SP.POP.TOTL 2023 column, in people. 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 SP.POP.TOTL",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "people"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
12m 12s
Recorded Blue tool calls
50
Total tokens
1,952,349
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added the 2023 World Bank total population by country layer to your map, in people, with five quantile classes and a separate No data category. It keeps all 251 supplied country features; 217 have known values and 34 remain No data under the exact ISO_A3 → Country Code join. This is a country-level indicator map, not a within-country population surface or a new aggregation. Legend breaks are 466,223.4, 4,035,963.2, 11,002,753.2, and 34,343,880.2 people. You can now inspect the layer and the derived country dataset on the map. ### Limitations - Thirty-four country features remain unknown under the exact ISO_A3 to Country Code join and must stay in the neutral No data category. - This is a country-level 2023 indicator map, not a subnational population surface or a new regional aggregation. - Thirty-four country features have no exact ISO_A3 to Country Code match in the supplied frozen inputs, so they remain in the No data category. - This is a country-level 2023 indicator map in people, not a subnational population surface or a new regional aggregation. - This layer contains only the supplied country features. - Thirty-four country features remain unknown under the exact-key join and stay as No data. - This is a country-level comparison map, not within-country population distribution.

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
217
Reported count
217
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 217,
  "actualCount": 217,
  "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 ISO_A3 to Country Code left join on the supplied frozen inputs retain every original country polygon and benchmark_row_id, preserve unknowns, and produce a valid 2023 population choropleth with quantile classes and a No data class?

assess_trial · completed · assessment: sufficient

The exact left join kept all 251 supplied country features and benchmark_row_id values. The joined 2023 field is numeric in people for 217 countries and null for 34 unmatched countries, which remain unknown instead of guessed. The classifier produced five quantile classes over the known values plus class 0 for No data; its summary reports breaks at 466223.4, 4035963.2000000025, 11002753.2, and 34343880.2 people.

assess_result · failed · requested assessment: sufficient

I delivered the global country choropleth on the map and preserved all 251 supplied country features. The final artifact keeps original geometry and benchmark_row_id, stores the numeric 2023 population field in people plus the population_class field, maps 217 known values, and leaves 34 countries as No data under the exact ISO_A3 to Country Code join. The displayed legend uses five quantile classes with breaks at 466223.4, 4035963.2000000025, 11002753.2, and 34343880.2 people, plus class 0 for No data.

assess_result · completed · assessment: sufficient

I delivered the global country choropleth on the map and preserved all 251 supplied country features. The final artifact keeps original geometry and benchmark_row_id, stores the numeric 2023 population field in people plus the population_class field, maps 217 known values, and leaves 34 countries as No data under the exact ISO_A3 to Country Code join. The displayed legend uses five quantile classes with breaks at 466223.4, 4035963.2000000025, 11002753.2, and 34343880.2 people, plus class 0 for No data.

Recorded workflow

  1. 01

    Classify joined 2023 values

    Recorded vector-classify · succeeded

  2. 02

    Supplied frozen country polygons

    Recorded source · succeeded

  3. 03

    World Bank total population 2023 by country

    Recorded output · succeeded

  4. 04

    Join 2023 population onto countries

    Recorded table-attribute-join · succeeded

  5. 05

    Supplied frozen World Bank population table

    Recorded source · succeeded

  6. 06

    Classify joined 2023 values

    Recorded vector-classify · succeeded

  7. 07

    Supplied frozen country polygons

    Recorded source · succeeded

  8. 08

    Join 2023 population onto countries

    Recorded table-attribute-join · succeeded

  9. 09

    Supplied frozen World Bank population table

    Recorded source · succeeded

  10. 10

    Join 2023 population onto countries

    Recorded output · succeeded

  11. 11

    Classify joined 2023 values

    Recorded output · succeeded

  12. 12

    Classify joined 2023 values

    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 first recover the current analysis context, then inspect the two supplied inputs so I can build the exact join and legend the task asks for.

  2. get_analysis

    Recorded tool call · completed

  3. Progress update

    I found no saved brief yet. I’m recording the goal now so I can test the join and classification against the exact 2023 inputs before I save the full production workflow.

  4. update_analysis_brief

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. Progress update

    I have the two frozen inputs. Next I’m checking their actual field names and a small sample so I can use the exact ISO and 2023 columns instead of guessing.

  8. get_item

    Recorded tool call · completed

  9. get_item

    Recorded tool call · completed

  10. list_processors

    Recorded tool call · completed

  11. list_processors

    Recorded tool call · completed

  12. list_processors

    Recorded tool call · completed

  13. get_tool_help

    Recorded tool call · completed

  14. describe_processors

    Recorded tool call · completed

  15. describe_processors

    Recorded tool call · completed

  16. Progress update

    I found the likely processor path: join the population table onto the country polygons, then classify the joined 2023 field with the choropleth processor that already publishes a legend and a distinct No data class. Now I’m checking the exact processor schemas before I test it.

  17. describe_processors

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. get_collection

    Recorded tool call · completed

  20. get_collection

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. Progress update

    I expect the exact ISO_A3→Country Code left join to keep all 251 country polygons, leave nonmatches as unknown, and produce a joined 2023 numeric field that the classifier can split into quantile classes plus a separate No data category. I’m running that full global private test now because the dataset is small enough to test the real output directly.

  23. run_trial

    Recorded tool call · completed

  24. Progress update

    The first trial was blocked by a brief argument issue, not by the data. I recorded the study extent as strings, so I’m correcting the brief to an explicit numeric global bbox and refreshing the field notes before retrying the same test.

  25. update_analysis_brief

    Recorded tool call · completed

  26. get_trial_report

    Recorded tool call · completed

  27. assess_trial

    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. Progress update

    I’ve verified the full-scope method privately: 251 country polygons were retained, 217 have a known 2023 value, and 34 stay as No data under the exact-key rule. I’m saving that tested method as the production workflow now so I can execute the final map layer and inspect the delivered artifact.

  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. update_analysis_brief

    Recorded tool call · completed

  40. get_tool_help

    Recorded tool call · completed

  41. get_tool_help

    Recorded tool call · completed

  42. propose_workflow

    Recorded tool call · completed

  43. execute_workflow

    Recorded tool call · completed

  44. Progress update

    The saved workflow has now finished in the background. I’m inspecting the delivered output and binding that exact classified country dataset to the map, then I’ll record the final counts and layer ID on the accepted result.

  45. inspect_workflow_results

    Recorded tool call · completed

  46. get_workflow_run

    Recorded tool call · completed

  47. inspect_artifact

    Recorded tool call · completed

  48. list_map_layers

    Recorded tool call · completed

  49. inspect_artifact

    Recorded tool call · completed

  50. inspect_artifact

    Recorded tool call · completed

  51. inspect_artifact

    Recorded tool call · completed

  52. inspect_artifact

    Recorded tool call · completed

  53. inspect_artifact

    Recorded tool call · completed

  54. get_tool_help

    Recorded tool call · completed

  55. inspect_artifact

    Recorded tool call · completed

  56. inspect_artifact

    Recorded tool call · completed

  57. assess_result

    Recorded tool call · failed

  58. Progress update

    I hit an assessment formatting check, not a data problem. I’m resubmitting the same verified result with the six acceptance conditions written exactly as the saved brief expects.

  59. assess_result

    Recorded tool call · completed

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