Map water usage patterns in Middle Eastern countries
The question
595832Map water usage patterns in Middle Eastern countries
Exact submitted task and declared adaptations
Map water usage patterns in Middle Eastern 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 SUBREGION in ["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.
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 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
- 15m 55s
- Recorded Blue tool calls
- 49
- Total tokens
- 3,756,360
- Model cost
- Not recorded
- Application revision
- d50497ea9084f29c91b05406688f87035df98d8a
- Release
- terra-geobenchx-v1
Recorded final answer
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
- 18
- Reported count
- 18
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 18,
"actualCount": 18,
"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 full Western Asia country workflow preserve every benchmark Western Asia row, join the frozen 2021 water indicator exactly by country code, and create the required quantile choropleth with a distinct No data class?
assess_trial · completed · assessment: sufficient
The full requested Western Asia computation succeeded on the retained benchmark geography. The filter kept 18 Western Asia country features, the exact left join matched all 18 ISO_A3 values to Country Code with zero unmatched rows, and the classified output preserved all 18 features with benchmark_row_id, the frozen 2021 value field, and five quantile classes. The classification summary reported 18 known values, 0 missing values, requestedClasses=5, classCount=5, and breaks at 0.50892, 1.593184, 2.4334, and 13.565784 billion m³ per year.
assess_result · failed · requested assessment: sufficient
I delivered a benchmark Western Asia country choropleth from the supplied frozen inputs and added it to the map. The final artifact retains all 18 benchmark Western Asia country features, preserves benchmark_row_id and geometry, joins ISO_A3 to Country Code exactly with no unmatched rows, and maps the supplied 2021 ER.H2O.FWTL.K3 values in billion m³ per year into five quantile classes. In this benchmark subset all 18 retained country features have known 2021 values, so unknown_count is 0 and the neutral No data category is present in the legend but unused.
assess_result · completed · assessment: sufficient
I delivered the formal final Western Asia country choropleth from the supplied frozen benchmark inputs and verified the final output, not just the earlier trial. The final artifact retains all 18 benchmark Western Asia country features, preserves geometry and benchmark_row_id, joins ISO_A3 to Country Code exactly with zero unmatched rows, and classifies the supplied 2021 ER.H2O.FWTL.K3 values into five quantile classes. In this benchmark subset all 18 retained countries have known 2021 values, so unknown_count is 0 and the neutral No data category is available in the legend but unused.
Recorded workflow
- 01
Supplied country boundaries
Recorded source · succeeded
- 02
Build water-use choropleth classes
Recorded vector-classify · succeeded
- 03
Western Asia water use (2021)
Recorded output · succeeded
- 04
Keep Western Asia benchmark rows
Recorded vector-filter · succeeded
- 05
Join frozen 2021 water values
Recorded table-attribute-join · succeeded
- 06
Supplied World Bank water indicator
Recorded source · succeeded
- 07
Supplied country boundaries
Recorded source · succeeded
- 08
Build water-use choropleth classes
Recorded vector-classify · succeeded
- 09
Keep Western Asia benchmark rows
Recorded vector-filter · succeeded
- 10
Join frozen 2021 water values
Recorded table-attribute-join · succeeded
- 11
Join frozen 2021 water values
Recorded output · succeeded
- 12
Build water-use choropleth classes
Recorded output · succeeded
- 13
Build water-use choropleth classes
Recorded output · succeeded
- 14
Supplied World Bank water indicator
Recorded source · succeeded
Activity
Recorded actionsRecorded 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.
Progress update
I’ll build this from the supplied frozen boundary and indicator files, test the exact join and Western Asia filter first, then run the final classified country layer and add it to your map. After that I’ll verify the delivered artifact still contains every original Western Asia country row, including unknowns and unmatched codes.
Progress update
I’m checking the saved analysis context and the exact source schemas now. Then I’ll test the join and class rules privately before saving the final workflow.
get_collection
Recorded tool call · completed
get_analysis
Recorded tool call · completed
get_map_context
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found the supplied benchmark inputs and there isn’t any saved analysis yet. Next I’m reading the exact field names from those immutable items so the join uses the user’s frozen ISO and 2021 columns exactly, with no guessed replacements.
get_item
Recorded tool call · completed
get_item
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve confirmed the source fields: the boundaries have `ISO_A3`, `SUBREGION`, and `benchmark_row_id`, and the frozen table has `Country Code` and `2021`. I’m now running one compact end-to-end test that filters Western Asia, does the exact left join, and applies the required quantile classification so I can inspect the real row preservation, unknown handling, and legend behavior before saving the final workflow.
get_tool_help
Recorded tool call · completed
run_trial
Recorded tool call · completed
Progress update
The private test finished. It kept 18 Western Asia country rows and the exact ISO join matched all 18, so there are no unknown indicator rows in this benchmark geography. I’m checking the delivered class breaks and map-ready output now, because the final answer still needs the verified artifact fields and the actual layer binding on your map.
get_trial_report
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve got the full-area trial result. Now I’m pulling the final rows and receipts from that exact output so I can confirm the value field, class field, and the map layer binding before I deliver it.
inspect_artifact
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
The method itself is now confirmed on the full requested geography: 18 Western Asia country features, exact joins, five quantile classes, and no unknown values in this benchmark subset. I’m using the retained result rather than rerunning the same work, and I’m fetching the exact output receipt needed to add the classified layer to your map.
get_workflow_run
Recorded tool call · completed
list_processor_jobs
Recorded tool call · completed
get_item
Recorded tool call · completed
add_catalog_layer
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
assess_trial
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
assess_result
Recorded tool call · failed
Progress update
I’ve verified the method and the map layer from the trial, but Blue won’t let me attach a private trial artifact as the final selected result. I’m turning that exact tested computation into a formal final workflow now so the same verified output can be selected properly and delivered to your map.
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
propose_workflow
Recorded tool call · completed
get_analysis
Recorded tool call · completed
Progress update
I found the one draft problem: the saved production workflow inherited the trial’s world-sized source scope even though the actual study area is Western Asia. I’m correcting that now so the formal final workflow matches the tested benchmark geography exactly, then I’ll run and inspect the final deliverable.
revise_workflow
Recorded tool call · completed
Progress update
The inherited trial draft still carries a world-sized workflow scope field. I’m replacing that bookkeeping with the same tested computation saved directly at the Western Asia scope, so the formal final run matches the requested benchmark geography cleanly.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
Progress update
The formal final workflow has finished. I’m inspecting that final output now and then I’ll bind that exact final artifact to the map, so the selected result and the visible layer match.
inspect_workflow_results
Recorded tool call · completed
Progress update
I’ve got the final workflow receipts, including the new map layer. I’m pulling the final rows and summary from that exact deliverable now so the final answer uses the formal output, not the earlier private test.
inspect_artifact
Recorded tool call · completed
Progress update
I’ve got the completed final deliverable and its map binding. I’m fetching the final inspected rows and summary now so the accepted result points to the formal output layer and artifact, not the earlier working copy.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
get_item
Recorded tool call · completed
Progress update
I’ve confirmed the final artifact rows, the five quantile breaks, and the new final map layer. I’m checking the final item’s legend metadata once so the accepted result can cite the visible class bounds and No data category from the formal delivered output.
assess_result
Recorded tool call · completed