Research/Terra/ 170096
Task evidence / country-choropleth

Show population density patterns across regions

PassComputational taskUnpublished draft
Download evidence JSON ↓

The question

170096
Show population density patterns across regions.
Exact submitted task and declared adaptations
Show population density patterns across regions.

Task conventions: Use the frozen country polygons and World Bank SP.POP.TOTL 2023 population column in people; derived map units are people/km². 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.Derive population density as the declared year's total population divided by the complete supplied country area in km². Some countries have several original features sharing ISO_A3: sum their original polygon areas once per ISO_A3, and assign that same country density to every corresponding original feature. Do not divide a full country population by each separate fragment. Unmatched placeholder codes remain unknown. Measure WGS84 ellipsoidal area using shortest geodesic edges between original vertices, subtracting holes and summing polygon parts. Longitude roundoff up to 1e-8 degrees at ±180 is tolerated; this does not move or replace the source geometry. This is population per supplied country-geometry area, NOT an official land-only density or subnational raster. Preserve all original features. Missing population, invalid/empty geometry, nonpositive area, or polygon rings spanning more than 180 degrees after longitude unwrapping remain unknown. Do not silently repair geometry, substitute current boundaries, or drop unknown countries. Here regions means the original country-level features worldwide; no continent aggregation or unobserved within-country distribution is inferred.



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
39m 0s
Recorded Blue tool calls
70
Total tokens
4,810,324
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the 2023 country population density layer is on your map. It shows 217 original country features with known values in people/km² and 34 features as No data. The legend uses five quantile classes for known values plus a separate No data class. Unmatched codes such as -99 stay in No data. Key limitation: this is 2023 total population divided by the supplied country geometry area, so it is not official land-only density and it does not show within-country population patterns. Sources: supplied World Bank country boundaries (GeoBenchX harmonized names) and the frozen World Bank SP.POP.TOTL 2023 table, hosted by Blue and retrieved 2026-10-07. ### Limitations - This density is based on supplied country geometry area, not official land-only density and not a within-country population surface. - Unmatched codes such as -99 and missing 2023 measurements remain unknown. - The class count may drop below five only if tied values collapse the quantile breaks. - Density is 2023 total population divided by the supplied country geometry area in km², not official land-only density. - This is a country-level indicator only. It does not infer subnational population distribution within countries. - Thirty-four original features remain No data because their identifiers did not match a supplied Country Code or no usable 2023 population value was available. - The quantile legend is based only on the 217 known values. - The result preserves supplied original country rows; it does not substitute current boundaries or repair invalid geometry. - This uses only the supplied 2023 World Bank population column and exact code matching. - Area is measured geodesically from the supplied original country geometry and summed once per ISO_A3. - Values equal to a class break enter the upper class, and class 0 remains the neutral No data category.

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

Can the supplied boundary and population inputs produce a country-level 2023 population-density choropleth that preserves every original feature, assigns one summed country area per ISO_A3, and keeps unknown countries as No data?

run_trial · completed

Can a corrected workflow keep unmatched placeholder codes such as -99 fully unknown by joining only the final known density table back to the original boundary features, while still giving split countries one shared density per ISO_A3?

assess_trial · completed · assessment: insufficient

The trial proved the fixed 2023 population join, geodesic area measurement, worldwide coverage, preservation of all 251 original boundary rows, and quantile classification with a distinct No data class. Split matched countries such as the Netherlands and New Zealand shared one grouped country area and one density value across their multiple features. However, the same grouping also assigned one combined country_area_km2 to all seven placeholder ISO_A3='-99' rows even though they remain unmatched and must stay unknown. Their pop_density_pkm2 correctly stayed null and their class stayed No data, but the intermediate grouped-area field is misleading for unmatched placeholder rows.

assess_trial · completed · assessment: sufficient

The corrected trial preserved all 251 original country features and benchmark_row_id values. Placeholder rows with ISO_A3='-99' remained fully unknown: pop_density_pkm2 is null for all seven rows and density_class is 0 for No data. Split matched countries still share one country density after joining the grouped density table back to the original boundaries; for example, all four Netherlands features carry the same pop_density_pkm2 value of 478.090186237133. The corrected method therefore keeps unmatched placeholders unknown while still assigning one shared density per matched ISO_A3.

assess_result · completed · assessment: sufficient

The final delivered artifact contains all 251 original country features, keeps benchmark_row_id, and is bound to the current map as layer [resource id withheld]. It has 217 features with a known numeric 2023 population-density value in people/km² and 34 unknown features shown as No data. Unmatched placeholder rows such as ISO_A3='-99' remain null and No data, while split matched countries such as the four Netherlands features share one density value and class. The delivered value field is pop_density_pkm2 and the class field is density_class.

Recorded workflow

  1. 01

    Attach grouped area

    Recorded table-attribute-join · succeeded

  2. 02

    Attach final density to original rows

    Recorded table-attribute-join · succeeded

  3. 03

    Classify density

    Recorded vector-classify · succeeded

  4. 04

    2023 country population density

    Recorded output · succeeded

  5. 05

    Group area by ISO

    Recorded table-group-statistics · succeeded

  6. 06

    Group final density by ISO

    Recorded table-group-statistics · succeeded

  7. 07

    Join frozen population

    Recorded table-attribute-join · succeeded

  8. 08

    Calculate known density

    Recorded vector-field-calculate · succeeded

  9. 09

    Keep known countries

    Recorded vector-filter · succeeded

  10. 10

    Measure feature area

    Recorded vector-measure · succeeded

  11. 11

    Prepare completeness flag

    Recorded vector-field-calculate · succeeded

  12. 12

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  13. 13

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  14. 14

    Attach grouped area

    Recorded table-attribute-join · succeeded

  15. 15

    Attach final density to original rows

    Recorded table-attribute-join · succeeded

  16. 16

    Classify density

    Recorded vector-classify · succeeded

  17. 17

    Group area by ISO

    Recorded table-group-statistics · succeeded

  18. 18

    Group final density by ISO

    Recorded table-group-statistics · succeeded

  19. 19

    Join frozen population

    Recorded table-attribute-join · succeeded

  20. 20

    Calculate known density

    Recorded vector-field-calculate · succeeded

  21. 21

    Keep known countries

    Recorded vector-filter · succeeded

  22. 22

    Measure feature area

    Recorded vector-measure · succeeded

  23. 23

    Prepare completeness flag

    Recorded vector-field-calculate · succeeded

  24. 24

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  25. 25

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  26. 26

    Attach final density to original rows

    Recorded output · succeeded

  27. 27

    Classify density

    Recorded output · succeeded

  28. 28

    Attach country area

    Recorded table-attribute-join · succeeded

  29. 29

    Classify density

    Recorded vector-classify · succeeded

  30. 30

    Group area by ISO

    Recorded table-group-statistics · succeeded

  31. 31

    Join frozen population

    Recorded table-attribute-join · succeeded

  32. 32

    Calculate known density

    Recorded vector-field-calculate · succeeded

  33. 33

    Keep known countries

    Recorded vector-filter · succeeded

  34. 34

    Measure feature area

    Recorded vector-measure · succeeded

  35. 35

    Merge known and unknown rows

    Recorded vector-merge · succeeded

  36. 36

    Prepare completeness flag

    Recorded vector-field-calculate · succeeded

  37. 37

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  38. 38

    blue-generated--[resource id withheld]

    Recorded source · succeeded

  39. 39

    Classify density

    Recorded output · succeeded

  40. 40

    Assign unknown density

    Recorded vector-field-calculate · succeeded

  41. 41

    Keep unknown countries

    Recorded vector-filter · 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 supplied boundary and population files first so I can build the country-density layer with the exact 2023 population field and keep unknown countries separate. After that I’ll test a small join-and-density method, then save the full workflow draft and add the final layer if the checks pass.

  2. get_analysis

    Recorded tool call · completed

  3. get_collection

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. Progress update

    I found the two supplied inputs and confirmed they are the fixed benchmark snapshots, not live sources. Next I’m reading their fields and sample rows so I can join ISO_A3 to Country Code exactly, keep every original country feature, and test the density calculation with the supplied 2023 population column only.

  6. inspect_artifact

    Recorded tool call · failed

  7. inspect_artifact

    Recorded tool call · failed

  8. update_analysis_brief

    Recorded tool call · completed

  9. Progress update

    I’ve recorded the exact goal and the must-keep rules. The next step is a private experiment to read the supplied files and verify the join, country-area aggregation, and classing method before I save the full production workflow.

  10. list_processors

    Recorded tool call · completed

  11. search_knowledge

    Recorded tool call · completed

  12. list_processors

    Recorded tool call · completed

  13. search_knowledge

    Recorded tool call · completed

  14. describe_processors

    Recorded tool call · failed

  15. Progress update

    I found the likely processing chain: geodesic area measurement, group statistics by ISO_A3, exact table join, field calculation, and numeric vector classification. I’m reading the processor schemas now so I can wire the trial with the real inputs instead of guessing parameters.

  16. describe_processors

    Recorded tool call · completed

  17. describe_processors

    Recorded tool call · completed

  18. list_processors

    Recorded tool call · completed

  19. describe_processors

    Recorded tool call · completed

  20. describe_processors

    Recorded tool call · completed

  21. list_processors

    Recorded tool call · completed

  22. run_trial

    Recorded tool call · completed

  23. Progress update

    I expect the full-country trial to show three things: the exact ISO_A3→Country Code join works with the frozen 2023 field, countries with split boundary features can share one summed country area, and the merged output can classify known densities while keeping unknown countries as a separate No data class. If any of those fail, I’ll correct the method before saving the production workflow.

  24. Progress update

    The first trial did not run because my brief stored the study extent as text instead of numeric coordinates. I’m correcting that now and then retrying the same method.

  25. update_analysis_brief

    Recorded tool call · completed

  26. Progress update

    The method trial finished successfully. I’m checking the actual output now to confirm the row count, unknown-country handling, and shared country density on split features before I save the full workflow and add the final layer.

  27. get_trial_report

    Recorded tool call · completed

  28. inspect_artifact

    Recorded tool call · completed

  29. inspect_artifact

    Recorded tool call · completed

  30. Progress update

    I’ve confirmed the trial output exists and preserves all 251 original boundary rows. I’m pulling a few exact rows now to verify the split-country area handling and the unknown-code cases before I save the production version and bind it to the map.

  31. inspect_artifact

    Recorded tool call · completed

  32. inspect_artifact

    Recorded tool call · completed

  33. inspect_artifact

    Recorded tool call · completed

  34. Progress update

    I’m resuming the exact finished inspections rather than rerunning analysis. Next I’m locking the row checks and schema/legend details, then I’ll save the full workflow, run the production copy, and bind the verified layer to the map.

  35. inspect_artifact

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. inspect_artifact

    Recorded tool call · completed

  38. list_processors

    Recorded tool call · completed

  39. search_knowledge

    Recorded tool call · completed

  40. search_knowledge

    Recorded tool call · completed

  41. Progress update

    The first trial proved the join and classing path, but it also showed a subtle problem: unmatched placeholder codes like -99 inherited a combined grouped area that should stay irrelevant. I’m fixing that by joining only the finished density table back to the original boundaries, so unmatched rows keep null density and No data without carrying a fake shared country area.

  42. Progress update

    The correction itself was fine, but I put the trial inspection list in the wrong place. I’m resending the exact same corrected method with the proper trial schema now.

  43. run_trial

    Recorded tool call · completed

  44. assess_trial

    Recorded tool call · completed

  45. Progress update

    I’ve got the corrected full-world trial back. Now I’m confirming two practical points from the actual rows: placeholder codes like -99 stay null/No data, and split countries still share one country density across their original features. Then I’ll save the production workflow and publish the verified layer.

  46. get_trial_report

    Recorded tool call · completed

  47. search_knowledge

    Recorded tool call · completed

  48. get_analysis

    Recorded tool call · completed

  49. inspect_artifact

    Recorded tool call · completed

  50. inspect_artifact

    Recorded tool call · completed

  51. Progress update

    The correction checks are done. I’m pulling the finished receipts now so I can lock in the two key facts from the corrected output: -99 stays unknown, and split matched countries still share one density value.

  52. inspect_artifact

    Recorded tool call · completed

  53. inspect_artifact

    Recorded tool call · completed

  54. Progress update

    The corrected method is now verified: all seven -99 rows stay null and No data, and all four Netherlands features share the same density value. I’m recording that correction as sufficient and then saving the production workflow from this tested method.

  55. assess_trial

    Recorded tool call · completed

  56. update_analysis_brief

    Recorded tool call · completed

  57. search_knowledge

    Recorded tool call · completed

  58. get_tool_help

    Recorded tool call · completed

  59. get_tool_help

    Recorded tool call · completed

  60. Progress update

    I’ve got the corrected evidence. I’m opening the workflow-save example now so I can submit the tested method with the right contract fields instead of guessing the proposal shape.

  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. get_tool_help

    Recorded tool call · completed

  65. get_tool_help

    Recorded tool call · completed

  66. get_tool_help

    Recorded tool call · completed

  67. get_tool_help

    Recorded tool call · completed

  68. get_tool_help

    Recorded tool call · completed

  69. Progress update

    I’ve finished method development and I’m saving the tested corrected workflow now. It will carry the exact 2023 join, geodesic country-area method, and five-quantile choropleth settings into the production run.

  70. propose_workflow

    Recorded tool call · completed

  71. Progress update

    The draft itself is valid and ready to run, but Blue still needs me to tie the earlier failed draft to the corrected evidence. I’m recording that resolution now so the saved workflow becomes runnable.

  72. assess_plan

    Recorded tool call · completed

  73. execute_workflow

    Recorded tool call · completed

  74. Progress update

    The production run has finished, so I’m inspecting the exact delivered output now rather than reusing the trial artifact. Next I’ll add that verified country layer to the map, confirm the layer binding, and record the final counts and selection.

  75. get_workflow_run

    Recorded tool call · completed

  76. inspect_workflow_results

    Recorded tool call · completed

  77. Progress update

    The final workflow output is ready and already bound to the map as layer [resource id withheld]. I’m pulling the final artifact’s exact fields and counts now so I can return the required selection, known/unknown totals, and machine-readable answer object.

  78. inspect_artifact

    Recorded tool call · completed

  79. list_map_layers

    Recorded tool call · completed

  80. inspect_artifact

    Recorded tool call · completed

  81. Progress update

    I’ve already confirmed the final layer is on the map. I’m retrieving the final artifact receipt and one final bounded preview now so the result assessment cites the exact delivered dataset, not the earlier trial copy.

  82. get_tool_help

    Recorded tool call · completed

  83. inspect_artifact

    Recorded tool call · completed

  84. get_tool_help

    Recorded tool call · completed

  85. inspect_artifact

    Recorded tool call · completed

  86. Progress update

    I have the final counts already. I’m doing one last bounded row check on the delivered artifact itself for the two special cases that mattered: placeholder -99 rows and a split matched country. Then I’ll lock the final assessment.

  87. inspect_artifact

    Recorded tool call · completed

  88. inspect_artifact

    Recorded tool call · completed

  89. Progress update

    I’m locking the final verification on the delivered artifact itself now: one check for unmatched placeholder rows and one check for a split matched country. After that I’ll record the final result with the exact output selection and map layer binding.

  90. inspect_artifact

    Recorded tool call · completed

  91. inspect_artifact

    Recorded tool call · completed

  92. Progress update

    I’ve finished the final checks. I’m recording the accepted result now with the exact delivered artifact, counts, field names, and the map layer that is already visible.

  93. assess_result

    Recorded tool call · completed

|||

© 2026 Exia Labs, Inc.