Research/Terra/ 394050
Task evidence / country-choropleth

Map global rural-urban population distribution

PassComputational taskUnpublished draft
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The question

394050
Map global rural-urban population distribution.
Exact submitted task and declared adaptations
Map global rural-urban population distribution.


Task conventions: Use the frozen country polygons and World Bank 2023 rural and total population columns, both measured in people. The derived map is in percent of population. 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. 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. The mapped quantity is 100 times 2023 rural population divided by 2023 total population, joined by the same country code. Missing numerator/denominator or zero denominator is unknown. For rural-urban distribution, the rural share is sufficient and urban share is its complement.



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.RUR.TOTL",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "people"
    },
    "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
19m 9s
Recorded Blue tool calls
63
Total tokens
3,675,620
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the 2023 country layer is on the map. It shows rural population share as a percent of total population by country. Known values cover 216 of 251 supplied country features; 35 are a separate No data category, not zero. Legend: No data, then five quantile classes for known values with breaks at 12.7659%, 28.4010%, 42.3010%, and 60.1690%; values on a break go into the upper class. Urban share is the complement of the mapped rural share. Key limits: this is a country-level 2023 indicator only, not a subnational surface or a new regional aggregation, and counts follow the 251 supplied boundary rows rather than deduplicated sovereign states. Sources: Blue-hosted benchmark fixtures, source revision not provided, retrieved 2026-10-07 UTC — World Bank country boundaries (Collection `blue-generated--[resource id withheld]`), World Bank SP.RUR.TOTL 2023 (Collection `blue-generated--[resource id withheld]`), and World Bank SP.POP.TOTL 2023 (Collection `blue-generated--[resource id withheld]`). ### Limitations - Country-level 2023 indicator from the supplied frozen World Bank inputs only; this is not a subnational population surface or a new regional aggregation. - Counts follow the 251 original supplied boundary features, not deduplicated sovereign states. - Unmatched country codes, missing 2023 values, and zero total population remain a neutral No data category rather than inferred values. - Country-level 2023 indicator only; this is not a subnational population surface or a new regional aggregation. - 35 countries remain No data because the exact join or the supplied 2023 measurements are unknown; these are shown as a separate neutral category rather than zero. - Boundary features are preserved even when joined values are unknown. - Unmatched country codes remain unknown rather than substituted. - Country-code sentinels such as -99 remain unmatched and unknown. - No data is a separate neutral class rather than zero.

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
216
Reported count
216
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 216,
  "actualCount": 216,
  "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 method retain all supplied country rows, leave unmatched codes unknown, compute 2023 rural share percent correctly, and classify known values into quantiles with a separate No data class?

assess_trial · completed · assessment: insufficient

The exact left joins succeeded across the full 251 supplied boundary rows and kept 34 unmatched country codes as missing joined values. The rural value copy also succeeded, with 216 known rural 2023 values and 35 missing. The trial did not answer the full question because the final calculation referenced a non-existent field name after the second join; the total population field is 2023_y in the joined artifact, not 2023.

run_trial · completed

With the corrected joined fields, does the full 251-country artifact produce the required 2023 rural-share percentages and quantile choropleth classes while keeping unknowns separate?

assess_trial · completed · assessment: sufficient

The corrected full-world trial produced the requested country percentage and quantile classification. It retained all 251 original boundary rows, calculated rural_share_pct for 216 countries, kept 35 countries as No data, and added rural_share_class for every row with class 0 representing No data. The quantile summary reported five classes with percent breaks at 12.765860545611877, 28.400999811886983, 42.30100047522213, and 60.16899940710874.

assess_result · completed · assessment: sufficient

The delivered country layer meets the requested 2023 rural-share mapping method. It retains all 251 supplied country features, calculates a known rural-share percentage for 216 features, keeps 35 features as No data, classifies known values into five quantile classes, and is already bound to the map as layer [resource id withheld].

Recorded workflow

  1. 01

    Supplied country boundaries

    Recorded source · succeeded

  2. 02

    Classify rural share percent

    Recorded vector-classify · succeeded

  3. 03

    2023 rural population share by country

    Recorded output · succeeded

  4. 04

    Join rural 2023 by country code

    Recorded table-attribute-join · succeeded

  5. 05

    Supplied rural population table

    Recorded source · succeeded

  6. 06

    Rename rural 2023 value

    Recorded vector-field-calculate · succeeded

  7. 07

    Join total 2023 by country code

    Recorded table-attribute-join · succeeded

  8. 08

    Supplied total population table

    Recorded source · succeeded

  9. 09

    Calculate 2023 rural share percent

    Recorded vector-field-calculate · succeeded

  10. 10

    Classify rural share percent

    Recorded vector-classify · succeeded

  11. 11

    Joined rural and total country values

    Recorded source · succeeded

  12. 12

    Calculate 2023 rural share percent

    Recorded vector-field-calculate · succeeded

  13. 13

    Calculate 2023 rural share percent

    Recorded output · succeeded

  14. 14

    Calculate 2023 rural share percent

    Recorded output · succeeded

  15. 15

    Classify rural share percent

    Recorded output · succeeded

  16. 16

    Classify rural share percent

    Recorded output · succeeded

  17. 17

    Supplied country boundaries

    Recorded source · succeeded

  18. 18

    Classify rural share percent

    Recorded vector-classify · skipped

  19. 19

    Join rural 2023 by country code

    Recorded table-attribute-join · succeeded

  20. 20

    Supplied rural population table

    Recorded source · succeeded

  21. 21

    Rename rural 2023 value

    Recorded vector-field-calculate · succeeded

  22. 22

    Join total 2023 by country code

    Recorded table-attribute-join · succeeded

  23. 23

    Supplied total population table

    Recorded source · succeeded

  24. 24

    Calculate 2023 rural share percent

    Recorded vector-field-calculate · failed

  25. 25

    Join rural 2023 by country code

    Recorded output · succeeded

  26. 26

    Rename rural 2023 value

    Recorded output · succeeded

  27. 27

    Rename rural 2023 value

    Recorded output · succeeded

  28. 28

    Join total 2023 by country code

    Recorded output · succeeded

  29. 29

    Calculate 2023 rural share percent

    Recorded output · skipped

  30. 30

    Calculate 2023 rural share percent

    Recorded output · skipped

  31. 31

    Classify rural share percent

    Recorded output · skipped

  32. 32

    Classify rural share percent

    Recorded output · skipped

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 inspect the supplied boundary and indicator files, then test a small join/classification method before saving the production workflow.

  2. Progress update

    I found the Blue analysis tools. Next I’m checking the supplied files and the available join/classification processors so I can test the exact 2023 method before saving the full workflow.

  3. get_analysis

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. get_collection

    Recorded tool call · completed

  7. get_item

    Recorded tool call · completed

  8. get_item

    Recorded tool call · completed

  9. get_item

    Recorded tool call · completed

  10. Progress update

    I’ve confirmed the key fields: `ISO_A3` and `benchmark_row_id` on 251 country features, plus `Country Code` and `2023` on both World Bank tables. Now I’m finding the exact processors for join, formula, quantile classification, and layer-ready output.

  11. list_processors

    Recorded tool call · completed

  12. list_processors

    Recorded tool call · completed

  13. list_processors

    Recorded tool call · completed

  14. list_processors

    Recorded tool call · completed

  15. describe_processors

    Recorded tool call · completed

  16. describe_processors

    Recorded tool call · completed

  17. get_tool_help

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. Progress update

    I have the exact processor contracts. The risky part is not data access anymore; it’s whether the exact join and quantile rules behave as required on the full 251-row world file. I’m running that as one private test now so I can inspect the real counts before I save the final workflow.

  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. update_analysis_brief

    Recorded tool call · completed

  24. list_processors

    Recorded tool call · completed

  25. list_processors

    Recorded tool call · completed

  26. list_processors

    Recorded tool call · completed

  27. list_processors

    Recorded tool call · completed

  28. describe_processors

    Recorded tool call · completed

  29. describe_processors

    Recorded tool call · completed

  30. search_knowledge

    Recorded tool call · completed

  31. search_knowledge

    Recorded tool call · completed

  32. run_trial

    Recorded tool call · completed

  33. get_tool_help

    Recorded tool call · failed

  34. get_tool_help

    Recorded tool call · failed

  35. get_tool_help

    Recorded tool call · failed

  36. describe_processors

    Recorded tool call · completed

  37. get_tool_help

    Recorded tool call · pending

  38. Progress update

    The first test found a simple field-name mistake after the second join, not a data gap. I’m inspecting the saved trial outputs now, then I’ll rerun only the corrected calculation and classification using the exact successful joined artifact.

  39. get_trial_report

    Recorded tool call · completed

  40. inspect_artifact

    Recorded tool call · completed

  41. assess_trial

    Recorded tool call · completed

  42. inspect_artifact

    Recorded tool call · completed

  43. Progress update

    I confirmed the joined file shape: `rural_2023` plus `2023_y` on all 251 original country rows, with 34 unmatched codes still null. I’m rerunning only the corrected percent and quantile steps on that exact joined artifact now.

  44. run_trial

    Recorded tool call · completed

  45. Progress update

    The corrected method finished successfully in the private test: 251 country rows retained, 216 known percentages, 35 No data, and five quantile classes with percent breaks. I’m recording that, then I’ll save the tested global workflow and run the final deliverable so I can add the verified layer to your map.

  46. assess_trial

    Recorded tool call · completed

  47. get_tool_help

    Recorded tool call · failed

  48. get_tool_help

    Recorded tool call · failed

  49. get_tool_help

    Recorded tool call · failed

  50. Progress update

    I have the successful test artifacts. I’m reading the proposal schema paths Blue expects so I can save the tested workflow cleanly, rather than guessing the contract shape.

  51. get_tool_help

    Recorded tool call · completed

  52. get_tool_help

    Recorded tool call · completed

  53. get_tool_help

    Recorded tool call · completed

  54. get_tool_help

    Recorded tool call · completed

  55. get_tool_help

    Recorded tool call · completed

  56. get_tool_help

    Recorded tool call · completed

  57. get_tool_help

    Recorded tool call · completed

  58. get_tool_help

    Recorded tool call · completed

  59. get_analysis

    Recorded tool call · completed

  60. propose_workflow

    Recorded tool call · completed

  61. Progress update

    The draft itself is valid. The only remaining gate is a required explanation that the earlier failed test was fixed by the later successful full-world trial. I’m recording that resolution now, then I can launch the final workflow.

  62. assess_plan

    Recorded tool call · completed

  63. execute_workflow

    Recorded tool call · completed

  64. Progress update

    The final workflow finished. I’m inspecting the delivered country artifact and class summary now, then I’ll bind the verified choropleth to the map and record the final counts and layer ID.

  65. inspect_workflow_results

    Recorded tool call · completed

  66. Progress update

    I’m resuming the finished run and pulling the final output receipts now. Next I’ll verify the country artifact and summary, then bind the choropleth layer to the map and record the final answer object.

  67. inspect_workflow_results

    Recorded tool call · completed

  68. Progress update

    The map layer is already bound from the finished workflow, which is good. I’m doing one final artifact check now: value/class fields on the country layer plus the exact class breaks from the summary, so the final answer uses the delivered output rather than the earlier trial.

  69. inspect_artifact

    Recorded tool call · completed

  70. inspect_artifact

    Recorded tool call · completed

  71. Progress update

    The last needed inspection finished. I’m reading the final country layer’s own value and class fields now so I can assess the delivered artifact itself, not just the workflow receipts.

  72. inspect_artifact

    Recorded tool call · completed

  73. Progress update

    I have the final country layer and legend summary. I’m pulling the current run’s calculation summary too, so the final assessment can cite the delivered formula, not only the earlier trial.

  74. inspect_artifact

    Recorded tool call · completed

  75. inspect_artifact

    Recorded tool call · completed

  76. Progress update

    The remaining check is narrow: I’m confirming a small sample of the final No data rows from the delivered output, so the final assessment can explicitly tie unknown countries to missing inputs rather than to a dropped row or map-only rendering.

  77. inspect_artifact

    Recorded tool call · completed

  78. assess_result

    Recorded tool call · completed

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