Research/Terra/ 526765
Task evidence / country-choropleth

Compare water usage between Upper and Lower Nile countries

PassComputational taskUnpublished draft
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The question

526765
Compare water usage between Upper and Lower Nile countries.
Exact submitted task and declared adaptations
Compare water usage between Upper and Lower Nile countries. 

Task conventions: Use the frozen country polygons and World Bank ER.H2O.FWTL.K3 2021 column, in billion m³ per year. 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 ["Egypt, Arab Rep.", "Sudan", "South Sudan", "Ethiopia", "Uganda", "Tanzania", "Rwanda", "Burundi", "Congo, Dem. Rep.", "Kenya", "Eritrea"]; 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. Also compare unweighted means of known original country features by these fixed NAME_EN groups: {"Lower_Nile": ["Egypt, Arab Rep.", "Sudan"], "Upper_Nile": ["South Sudan", "Ethiopia", "Uganda", "Tanzania", "Rwanda", "Burundi", "Congo, Dem. Rep.", "Kenya", "Eritrea"]}. Do not treat missing values as zero. These are country comparisons, not basin-clipped or population-weighted estimates.



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. Include a metrics object in the final JSON with group-name keys and their numeric means (or null if no known members), and explain the comparison.

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 ER.H2O.FWTL.K3",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2021",
    "units": {
      "2021": "billion m\u00b3 per year"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
14m 51s
Recorded Blue tool calls
44
Total tokens
2,331,757
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done. I added the 2021 country layer to the map. Lower_Nile is much higher than Upper_Nile here: 52.22 vs 2.58 billion m³ per year, using unweighted country means from the fixed country lists. The map uses five quantile classes with breaks at 0.61, 0.658, 4.032, and 10.5481 billion m³/year. A neutral No data class is defined separately, but none of these 11 retained benchmark countries are unknown in this fixed 2021 set. Key limit: this is a fixed 2021 country-level comparison only. It is not subnational, basin-clipped, area-weighted, or population-weighted. ### Limitations - This is a fixed 2021 country comparison. It is not subnational, basin-clipped, population-weighted, or a measure of water availability. - All 11 retained countries have known 2021 values in this benchmark set, so the neutral No data category is defined by the classification method but not populated in the retained rows. - This is a fixed 2021 country comparison. It is not subnational, basin-clipped, area-weighted, or population-weighted. - All 11 retained countries have known 2021 values in this benchmark subset, so the neutral No data category is defined in the delivered classification but not populated in the retained rows. - Fixed to the declared benchmark NAME_EN geography only. - Country-level annual indicator only. - Uses 2021 exactly. - No alternate-code fallback or guessed matches. - Class breaks are specific to this fixed 11-country geography. - Unweighted known-country means only.

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
11
Reported count
11
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 11,
  "actualCount": 11,
  "expectedMetrics": {
    "Lower_Nile": 52.2175,
    "Upper_Nile": 2.579422222222222
  },
  "actualMetrics": {
    "Lower_Nile": 52.2175,
    "Upper_Nile": 2.5794222222222225
  },
  "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 · failed

Does the full fixed-country method retain every declared country feature, join the frozen 2021 water-withdrawal values exactly from ISO_A3 to Country Code, preserve unknowns, and produce the required quantile choropleth fields and legend over that retained geography?

run_trial · completed

Does the full fixed-country method retain every declared country feature, join the frozen 2021 water-withdrawal values exactly from ISO_A3 to Country Code, preserve unknowns, and produce the required quantile choropleth fields and legend over that retained geography?

assess_trial · completed · assessment: sufficient

The fixed NAME_EN filter retained 11 country features and the exact left join on ISO_A3 = Country Code matched all 11 retained features with no unmatched rows. The joined 2021 field stayed numeric, all 11 retained features had known values, and vector-classify produced five quantile classes in field water_class_2021 with breaks 0.61, 0.658, 4.032, and 10.5481 and unit billion m³ per year. The classified output preserved geometry and benchmark_row_id and is suitable as the basis for the production deliverable.

assess_result · failed · requested assessment: sufficient

The final deliverable artifact retains all 11 declared benchmark country features with preserved benchmark_row_id, exact ISO_A3 to Country Code joins, the frozen 2021 ER.H2O.FWTL.K3 values in billion m³ per year, and water_class_2021 classes. The executed classifier summary confirms five quantile classes with breaks at 0.61, 0.658, 4.032, and 10.5481, missingCount 0, and a separate missing-data category encoded as class 0. The delivered layer is bound on the current map as [resource id withheld]. Unweighted means over known original country features are 52.2175 for Lower_Nile and 2.5794222222222223 for Upper_Nile.

assess_result · completed · assessment: sufficient

The final deliverable artifact retains all 11 declared benchmark country features with preserved benchmark_row_id, exact ISO_A3 to Country Code joins, the frozen 2021 ER.H2O.FWTL.K3 values in billion m³ per year, and water_class_2021 classes. The executed classifier summary confirms five quantile classes with breaks at 0.61, 0.658, 4.032, and 10.5481, missingCount 0, and a separate missing-data category encoded as class 0. The delivered layer is bound on the current map as [resource id withheld]. Unweighted means over known original country features are 52.2175 for Lower_Nile and 2.5794222222222223 for Upper_Nile.

Recorded workflow

  1. 01

    Classify 2021 water values

    Recorded vector-classify · succeeded

  2. 02

    Frozen country boundaries

    Recorded source · succeeded

  3. 03

    Nile freshwater withdrawal 2021 by country

    Recorded output · succeeded

  4. 04

    Join frozen 2021 water values

    Recorded table-attribute-join · succeeded

  5. 05

    Filter fixed Nile country features

    Recorded vector-filter · succeeded

  6. 06

    Frozen WDI water indicator

    Recorded source · succeeded

  7. 07

    Classify 2021 water values

    Recorded vector-classify · succeeded

  8. 08

    Frozen country boundaries

    Recorded source · succeeded

  9. 09

    Join frozen 2021 water values

    Recorded table-attribute-join · succeeded

  10. 10

    Filter fixed Nile country features

    Recorded vector-filter · succeeded

  11. 11

    Join frozen 2021 water values

    Recorded output · succeeded

  12. 12

    Classify 2021 water values

    Recorded output · succeeded

  13. 13

    Classify 2021 water values

    Recorded output · succeeded

  14. 14

    Frozen WDI water indicator

    Recorded source · 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 check the saved analysis state and the supplied boundary and indicator files first, then I’ll test the exact join/classification method on this fixed country list before I save the production workflow.

  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 frozen datasets. Next I’m checking their exact fields and sample rows so I can use the fixed 2021 column and join `ISO_A3` to `Country Code` without guessing any schema names.

  6. get_item

    Recorded tool call · completed

  7. get_item

    Recorded tool call · completed

  8. get_collection

    Recorded tool call · completed

  9. get_collection

    Recorded tool call · completed

  10. update_analysis_brief

    Recorded tool call · completed

  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. list_processors

    Recorded tool call · completed

  16. list_processors

    Recorded tool call · completed

  17. list_processors

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. Progress update

    I found the main processor path. The likely method is: filter the frozen country polygons by the fixed `NAME_EN` list, join the frozen WDI table on `ISO_A3 = Country Code`, then classify the joined 2021 values with the built-in quantile choropleth processor so No data stays separate and the legend is materialized. Now I’m checking the exact processor schemas before I test it.

  20. describe_processors

    Recorded tool call · completed

  21. describe_processors

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. get_tool_help

    Recorded tool call · completed

  24. get_tool_help

    Recorded tool call · completed

  25. Progress update

    I’ve got the exact processor contracts. I’m now running the full-country trial, not a toy subset, because the fixed geography is only 11 benchmark country rows. I expect to see every listed country feature retained, unmatched or missing 2021 values preserved as unknown, and geography-wide quantile breaks created only from known values.

  26. run_trial

    Recorded tool call · failed

  27. Progress update

    The first trial call was blocked by a brief formatting issue, not by missing data. I had recorded the study extent as strings. I’m correcting the brief to an explicit numeric CRS84 bbox from the observed boundary source extent, then I’ll rerun the exact same method.

  28. update_analysis_brief

    Recorded tool call · completed

  29. run_trial

    Recorded tool call · completed

  30. Progress update

    The full-country trial finished in the background. Good news first: the fixed `NAME_EN` filter kept 11 country features, the exact `ISO_A3 = Country Code` join matched all 11, and the classifier produced five quantile classes with unit labels. Important limitation: I still need the exact country rows to compute the two requested group means and to verify the final field names I’ll carry into the delivered artifact. Next I’m reading the trial report, inspecting the joined/classified rows, and recording the trial result before I save the production workflow.

  31. get_trial_report

    Recorded tool call · completed

  32. inspect_artifact

    Recorded tool call · completed

  33. Progress update

    The trial output inspection is ready. I’m pulling the exact country rows now so I can confirm the delivered fields, compute the two group means from the fixed country lists, and then save the production workflow from this tested method instead of rebuilding it.

  34. inspect_artifact

    Recorded tool call · completed

  35. Progress update

    The tested method is stronger than expected: all 11 fixed country features joined cleanly, all 11 have known 2021 values, and the quantile classifier produced five classes with the expected break pattern. Important remaining limitation: there are no unknown rows in this fixed geography, so I still need the production layer on the map to confirm the map binding and final delivery wiring, even though the method for unknowns was exercised conceptually by the processor contract. Now I’m recording the trial result and then saving the delivery workflow from this exact tested computation.

  36. assess_trial

    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. get_tool_help

    Recorded tool call · completed

  41. get_tool_help

    Recorded tool call · completed

  42. Progress update

    I’ve got a tested full-scope method, so I’m saving the production workflow directly from that trial instead of reconstructing it. That keeps the exact join, the exact 2021 field, and the exact class settings that already worked.

  43. propose_workflow

    Recorded tool call · completed

  44. Progress update

    The delivery workflow is saved and validated. It reuses the exact tested computation, so there’s no scientific change from the trial. Next I’m executing that saved workflow, then I’ll inspect the final artifact, add the layer to the map, and record the final answer object with the country counts and group means.

  45. execute_workflow

    Recorded tool call · completed

  46. Progress update

    The saved run finished in the background. I’m inspecting its exact delivered artifact now, then I’ll add that verified country layer to the map and record the final comparison and answer object.

  47. inspect_workflow_results

    Recorded tool call · completed

  48. Progress update

    I have the delivered layer ID and the final artifact identity. I’m doing two bounded checks before I record the result: one on the final country artifact itself, and one on the classifier summary so the final answer uses the current class breaks and current layer binding.

  49. inspect_artifact

    Recorded tool call · completed

  50. inspect_artifact

    Recorded tool call · completed

  51. Progress update

    I’ve got the final delivered artifact and layer. I’m fetching one current bounded preview of the delivered rows plus one current read of the classifier summary so the final assessment cites the exact final output, not just the earlier trial.

  52. inspect_artifact

    Recorded tool call · completed

  53. inspect_artifact

    Recorded tool call · completed

  54. Progress update

    I’m finishing the final verification from the executed workflow itself: first the delivered country rows, then the executed classifier summary. After that I can record the accepted result and answer object.

  55. inspect_artifact

    Recorded tool call · completed

  56. inspect_artifact

    Recorded tool call · completed

  57. assess_result

    Recorded tool call · failed

  58. Progress update

    Blue rejected the first final assessment because the condition text has to match the recorded acceptance checks exactly. I’m correcting that wording now and resubmitting the same evidence and final answer object.

  59. assess_result

    Recorded tool call · completed

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