Compare agricultural GDP contribution across Andean countries
The question
186506Compare agricultural GDP contribution across Andean countries
Exact submitted task and declared adaptations
Compare agricultural GDP contribution across Andean countries
Task conventions: Use the frozen country polygons and World Bank NV.AGR.TOTL.ZS 2022 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 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 ["Bolivia", "Colombia", "Ecuador", "Peru"]; 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 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
- 27m 9s
- Recorded Blue tool calls
- 57
- Total tokens
- 4,113,358
- 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
- 4
- Reported count
- 4
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 4,
"actualCount": 4,
"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 supplied benchmark geography retain the intended Andean country rows, and does an exact ISO_A3 to Country Code left join expose the required indicator year without dropping unknowns?
run_trial · completed
Does the full four-country workflow produce the required 2022 agricultural GDP choropleth with preserved rows, a distinct No data category, and quantile classes computed only on the fixed geography?
assess_trial · completed · assessment: sufficient
The filtered boundary output kept exactly four source country features, all within the requested benchmark geography, and retained benchmark_row_id. The left join matched ISO_A3 to Country Code for all four selected countries with no unmatched input features. The joined artifact confirms that the supplied indicator snapshot includes a numeric 2022 field and that all four selected countries have known 2022 values.
assess_trial · completed · assessment: sufficient
The end-to-end workflow kept the same four benchmark country features, retained benchmark_row_id, and attached the 2022 agricultural GDP value in % of GDP. The classifier created the new agri_gdp_2022_class field on those four rows using the fixed geography only. With four distinct country values and a requested five-class quantile scheme, the observed assigned classes are 1, 2, 4, and 5, so one class is unused rather than dropped.
assess_result · completed · assessment: sufficient
The final delivered layer contains exactly the four requested benchmark country features, keeps benchmark_row_id and geometry, uses the frozen 2022 agricultural GDP share field in % of GDP, and adds the agri_gdp_2022_class field. The final workflow's join matched all four selected ISO_A3 codes to Country Code exactly. The class summary confirms quantile classification on the fixed four-country geography, five requested classes, four known values, zero missing values, and break handling where break values enter the upper class. The delivered artifact is bound to map layer [resource id withheld].
assess_result · completed · assessment: sufficient
The final answer object selects the delivered derived country layer blue-generated--[resource id withheld]/[resource id withheld] with assetKey=data, reports 4 known 2022 values and 0 unknowns from that final artifact, and references the live map layer [resource id withheld] that displays it.
assess_result · completed · assessment: sufficient
The machine-readable summary now points to a published final deliverable for result andean_agri_gdp_summary: collection blue-generated--[resource id withheld], item [resource id withheld], assetKey data. It reports 4 known 2022 values and 0 unknowns from that final artifact, and it references the live map layer [resource id withheld] that displays the same artifact.
Recorded workflow
- 01
Andean agricultural GDP comparison artifact
Recorded output · succeeded
- 02
Final Andean agricultural GDP artifact
Recorded source · succeeded
- 03
Supplied country boundaries
Recorded source · succeeded
- 04
Classify 2022 agricultural GDP share
Recorded vector-classify · succeeded
- 05
Select benchmark Andean countries
Recorded vector-filter · succeeded
- 06
Andean agricultural GDP share, 2022
Recorded output · succeeded
- 07
Supplied agricultural GDP table
Recorded source · succeeded
- 08
Exact ISO_A3 to Country Code join
Recorded table-attribute-join · succeeded
- 09
Supplied country boundaries
Recorded source · succeeded
- 10
Classify 2022 agricultural GDP share
Recorded vector-classify · succeeded
- 11
Select benchmark Andean countries
Recorded vector-filter · succeeded
- 12
Supplied agricultural GDP table
Recorded source · succeeded
- 13
Exact ISO_A3 to Country Code join
Recorded table-attribute-join · succeeded
- 14
Classify 2022 agricultural GDP share
Recorded output · succeeded
- 15
Supplied country boundaries
Recorded source · succeeded
- 16
Select benchmark Andean countries
Recorded vector-filter · succeeded
- 17
Supplied agricultural GDP table
Recorded source · succeeded
- 18
Exact ISO_A3 to Country Code join
Recorded table-attribute-join · succeeded
- 19
Select benchmark Andean countries
Recorded output · succeeded
- 20
Exact ISO_A3 to Country Code join
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’m checking the saved analysis context and the exact dataset schemas first, then I’ll test the join and classing on the fixed four-country geography before saving the final map method.
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found the two frozen inputs. Next I’m reading their actual field names and a few rows so I can test the exact ISO_A3 → Country Code join and the required 2022 value handling without guessing columns.
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
list_processors
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describe_processors
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list_processors
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get_collection
Recorded tool call · completed
get_collection
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update_analysis_brief
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get_tool_help
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get_tool_help
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Progress update
I’ve confirmed the workflow syntax. I’m running a small private trial that selects the four benchmark country rows and joins the frozen indicator table exactly, so I can verify the actual year field and match status before saving the production layer.
run_trial
Recorded tool call · completed
Progress update
The trial worked: I confirmed four benchmark country features and a clean 4-to-4 code join. I’m now checking the joined fields directly to confirm the exact 2022 column name and the classing output before I save the full map workflow.
Progress update
The join itself is confirmed. I’m pulling the trial report and a focused row view now so I can verify the exact 2022 field name and values that will drive the final legend and counts.
inspect_artifact
Recorded tool call · completed
get_trial_report
Recorded tool call · completed
Progress update
I already have the completed join inspection job. I’m reading those joined rows now to confirm the exact 2022 field and values, then I’ll test the final quantile classing on the same four countries.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I have the ready inspection now. I’m reading the joined rows first, then I’ll run one short end-to-end classing trial that reaches the final map output.
inspect_artifact
Recorded tool call · completed
Progress update
I confirmed the exact 2022 field is present and all four selected countries have known 2022 values. Now I’m testing the final choropleth step itself so I can verify the class field and legend behavior before I save the production workflow.
run_trial
Recorded tool call · completed
assess_trial
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The classing run succeeded. I’m checking the classified rows and preview now so I can verify the final class field and legend, then I’ll save and execute the final workflow from that tested method.
inspect_artifact
Recorded tool call · completed
inspect_artifact
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get_tool_help
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get_tool_help
Recorded tool call · completed
Progress update
The class field is confirmed on the tested output. I’m checking the result and proposal schemas now so I can save the tested method cleanly, then I’ll run the final workflow and add the layer to the map.
get_tool_help
Recorded tool call · completed
get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
Recorded tool call · completed
assess_trial
Recorded tool call · completed
Progress update
I’ve finished the method check. I’m refreshing the brief now so the saved workflow carries the real current limits instead of stale setup notes.
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve got a tested end-to-end method now. I’m saving that exact computation as the final workflow draft next, rather than rebuilding it from scratch.
propose_workflow
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
The saved draft is close. I hit a bookkeeping issue in the fixed parameter paths, not a data problem, so I’m correcting that exact draft instead of rebuilding it.
revise_workflow
Recorded tool call · completed
Progress update
The proposal is runnable now. I’m starting that saved workflow next, then I’ll inspect the final output instead of relying on the trial alone.
execute_workflow
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
inspect_artifact
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inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I have the finished layer and its summary. I’m pulling the final delivered rows and preview now, plus a quick map-layer check, so the final recorded answer uses the exact delivered artifact and current layer ID.
list_map_layers
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve verified the final delivered artifact, the class summary, and the live map layer. I’m recording the final map result first, then the machine-readable answer object that points to this exact delivered layer.
assess_result
Recorded tool call · completed
Progress update
I’ve recorded the map result. I’m recording the machine-readable answer object now, pointing to the same delivered artifact and live map layer.
assess_result
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 finished the map result, but the machine-readable summary still needs a formal delivered output. I’m fixing that as a delivery-only follow-on, reusing the existing final workflow instead of recomputing the analysis.
Progress update
I’m saving a tiny publication workflow now: it reuses the exact final artifact that is already on the map, and adds a formal delivered artifact for the machine-readable summary result.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
The summary-delivery workflow finished. I’m checking its exact delivered output now so the machine-readable result points to the published deliverable, not just the earlier map workflow artifact.
Progress update
I now have the published summary deliverable too. I’m refreshing the machine-readable assessment one last time so it explicitly points at that delivered artifact selection.
assess_result
Recorded tool call · completed