Map agricultural GDP contribution by region
The question
530802Map agricultural GDP contribution by region.
Exact submitted task and declared adaptations
Map agricultural GDP contribution by region.
Task conventions: Use the frozen country polygons and World Bank NV.AGR.TOTL.ZS 2023 column, in % of GDP. 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 NV.AGR.TOTL.ZS",
"edition": "Frozen GeoBenchX World Development Indicators; use 2023",
"units": {
"2023": "% of GDP"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 15m 57s
- Recorded Blue tool calls
- 52
- Total tokens
- 2,766,733
- 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
- 153
- Reported count
- 153
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 153,
"actualCount": 153,
"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
What are the exact field names available in the supplied country polygons and frozen NV.AGR.TOTL.ZS table for the required exact join, 2023 value, and benchmark ID retention?
assess_trial · completed · assessment: sufficient
The supplied country polygons expose ISO_A3 and benchmark_row_id. The supplied indicator table exposes Country Code and a numeric 2023 field. Those fields are sufficient to test the required exact join and preserve benchmark_row_id in the final output.
run_trial · completed
Does the full global method preserve every supplied country feature while joining ISO_A3 to Country Code exactly and classifying the joined 2023 values into five quantile classes with a distinct No data category?
assess_trial · completed · assessment: sufficient
The full-scope method retained all 251 country features and benchmark_row_id after an exact left join from ISO_A3 to Country Code. The join added Country Code and the supplied 2023 value, leaving 34 unmatched country features and 98 total unknown 2023 values rather than dropping or filling them. The classifier retained 251 features, created ag_gdp_class values 0 to 5, and published five quantile classes with % of GDP units and breaks at 1.92466694767704, 4.332831086496554, 8.778385608277242, and 18.144718129856102; class 0 is the distinct No data category. The boundary convention is lower inclusive and upper exclusive, so a value equal to a class break enters the upper class.
assess_result · failed · requested assessment: sufficient
I delivered the country choropleth and added it to the map. The final artifact retains all 251 original country geometries and benchmark_row_id values, with 153 known 2023 agricultural-share values and 98 No data countries. The legend uses five quantile classes in % of GDP with breaks at 1.92466694767704, 4.332831086496554, 8.778385608277242, and 18.144718129856102, plus class 0 as the neutral No data category. Source: Benchmark fixture · World Bank country boundaries and Benchmark fixture · World Bank NV.AGR.TOTL.ZS, Blue-hosted immutable inputs with original World Bank attribution, retrieved 2026-10-07; source revision not provided.
assess_result · completed · assessment: sufficient
I delivered the country choropleth and added it to the map. The final artifact retains all 251 original country geometries and benchmark_row_id values, with 153 known 2023 agricultural-share values and 98 No data countries. The legend uses five quantile classes in % of GDP with breaks at 1.92466694767704, 4.332831086496554, 8.778385608277242, and 18.144718129856102, plus class 0 as the neutral No data category. Source: Benchmark fixture · World Bank country boundaries and Benchmark fixture · World Bank NV.AGR.TOTL.ZS, Blue-hosted immutable inputs with original World Bank attribution, retrieved 2026-10-07; source revision not provided.
Recorded workflow
- 01
Supplied agricultural GDP table
Recorded source · succeeded
- 02
Classify 2023 agricultural GDP values
Recorded vector-classify · succeeded
- 03
Supplied country polygons
Recorded source · succeeded
- 04
Agricultural GDP contribution by country (2023)
Recorded output · succeeded
- 05
Join 2023 agricultural GDP values
Recorded table-attribute-join · succeeded
- 06
Supplied agricultural GDP table
Recorded source · succeeded
- 07
Classify 2023 agricultural GDP values
Recorded vector-classify · succeeded
- 08
Supplied country polygons
Recorded source · succeeded
- 09
Join 2023 agricultural GDP values
Recorded table-attribute-join · succeeded
- 10
Join 2023 agricultural GDP values
Recorded output · succeeded
- 11
Classify 2023 agricultural GDP values
Recorded output · succeeded
- 12
Classify 2023 agricultural GDP values
Recorded output · succeeded
- 13
Supplied agricultural GDP table
Recorded source · succeeded
- 14
Supplied country polygons
Recorded source · succeeded
- 15
Supplied country polygons
Recorded output · succeeded
- 16
Supplied agricultural GDP table
Recorded output · 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 confirm the saved analysis context, inspect the two supplied datasets, then test the join and quantile classification on a small private run before I save the final map workflow.
Progress update
I’ve got the Blue tools. Next I’m checking the retained brief, current map state, and the two supplied files so I can test the join and class breaks without guessing fields.
get_analysis
Recorded tool call · completed
get_map_context
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
Progress update
I confirmed there’s no saved brief yet and the map is empty. Now I’m inspecting the two supplied files so I can use the exact field names and keep all countries, including unknowns.
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found the two supplied collections. They’re single managed files, so I’m pulling bounded schema/preview information next to confirm the exact join key and 2023 value column before I build the method.
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
get_tool_help
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’m recording the goal now so the join test and final checks stay tied to the same requested result. Then I’ll run a tiny source inspection trial to confirm the exact field names before any join.
update_analysis_brief
Recorded tool call · completed
run_trial
Recorded tool call · completed
Progress update
The first check finished. I confirmed the country file has `ISO_A3` and `benchmark_row_id`, but the table preview had omitted a few year columns, so I’m explicitly checking the 2023 field now before I do the join.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_trial_report
Recorded tool call · completed
read_evidence
Recorded tool call · failed
read_evidence
Recorded tool call · failed
Progress update
I’ve got the source field check back. I’m reading the completed inspection receipts now so I can correct the one bad field request and move on to the exact join test without guessing.
Progress update
The bad inspection was just an argument mistake: I asked for a table field that isn’t there. I’m correcting that now and confirming the 2023 column before I run the actual join-and-classify test.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I confirmed the country fields. The table inspections finished too, so I’m fetching the exact 2023 field and full schema now. Then I can test the actual join and class breaks on the full country set.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve confirmed the needed fields: `ISO_A3`, `benchmark_row_id`, `Country Code`, and `2023`. I’m recording that check, then I’ll run one full-scope private test that actually joins and classifies the country layer before I save the final workflow.
assess_trial
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
Progress update
I’m running the full method privately now on the whole country set: exact left join, then five-quantile classification on the 2023 field. This will show whether the final layer keeps all countries and publishes the expected No data legend.
run_trial
Recorded tool call · completed
Progress update
The full test finished. Next I’m reviewing the combined report and then I’ll save the same tested computation as the production workflow instead of rebuilding it.
get_trial_report
Recorded tool call · completed
Progress update
The method is supported. I’m recording the tested result now, then I’ll save this exact workflow as the final production run with the same join keys, year, and five quantile classes.
assess_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve finished method development. I’m refreshing the brief from the trial evidence so the saved workflow and final handoff reflect the tested counts and real remaining limit, not stale planning notes.
Progress update
I’m saving the production workflow now from the tested trial, without changing the science or the global extent. After it validates, I’ll run that exact saved version and verify the delivered map layer.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
Progress update
The saved workflow validated cleanly and matches the tested computation. I’m starting that exact production run now, then I’ll inspect the delivered output before I add it to the map.
Progress update
The production run finished in the background. I’m inspecting the delivered artifact and legend now, then I’ll bind that verified output to the map and record the final answer object.
inspect_workflow_results
Recorded tool call · completed
Progress update
The run is done; I’m pulling the authoritative output receipts now so I can add the exact delivered choropleth to the map, not the earlier trial copy.
inspect_workflow_results
Recorded tool call · completed
Progress update
I’ve got the final output receipt and the map now reports the layer was added. I’m doing one bounded content check on the delivered dataset and its legend summary before I file the final assessment.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
Progress update
I’m pulling the completed final preview receipt now. Then I can lock the result with the delivered artifact, the verified layer ID, and the machine-readable answer object.
inspect_artifact
Recorded tool call · completed
Progress update
I’ve verified the final artifact, legend summary, and live map layer. I’m recording the final result now with the selected dataset, counts, and layer ID.
assess_result
Recorded tool call · failed
Progress update
Blue rejected the wording because the condition names must match the saved acceptance list exactly. I’m correcting that now without changing the result.
assess_result
Recorded tool call · completed