Show electric consumption in G7 and BRICS nations
The question
720013Show electric consumption in G7 and BRICS nations
Exact submitted task and declared adaptations
Show electric consumption in G7 and BRICS nations
Task conventions: Use the frozen country polygons and World Bank EG.USE.ELEC.KH.PC 2014 column, in kWh per capita. 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 ["Canada", "France", "Germany", "Italy", "Japan", "United Kingdom", "United States", "Brazil", "Russian Federation", "India", "China", "South Africa", "Egypt, Arab Rep.", "Ethiopia", "Iran, Islamic Rep.", "United Arab Emirates", "Indonesia"]; 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": "Electric power consumption per capita",
"edition": "Frozen WDI; use 2014",
"units": {
"2014": "kWh per capita"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 16m 18s
- Recorded Blue tool calls
- 48
- Total tokens
- 2,017,541
- 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
- 16
- Reported count
- 16
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 16,
"actualCount": 16,
"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
Do the supplied boundary and indicator files expose the exact fields needed for the fixed country selection, exact ISO join and frozen 2014 choropleth?
assess_trial · completed · assessment: sufficient
The supplied boundary source exposes benchmark_row_id, NAME_EN and ISO_A3, and the frozen World Bank table exposes Country Code and a numeric 2014 field. The fixed NAME_EN geography returns 17 original country features with distinct benchmark_row_id values. One selected boundary row, France, has ISO_A3='-99', so an exact ISO_A3 to Country Code join will leave France unknown by design.
run_trial · completed
Does the full fixed-country method preserve all 17 benchmark country features, keep France as unknown from the exact ISO join, and produce a five-quantile 2014 choropleth with a separate No data class?
assess_trial · completed · assessment: sufficient
The tested method preserves all 17 benchmark country features, keeps benchmark_row_id and geometry, and joins the frozen 2014 World Bank values exactly by ISO_A3 to Country Code. Sixteen countries receive numeric 2014 values and France remains unknown because the benchmark boundary row carries ISO_A3='-99'. The classifier creates five quantile classes over known values only, with class 0 reserved for the No data feature.
assess_result · completed · assessment: sufficient
I inspected the delivered country artifact and its class summary after execution. The final output keeps 17 benchmark country features, with 16 known 2014 kWh per capita values and 1 No data feature. France remains the single unknown because its benchmark ISO_A3 is -99, so the exact join leaves Country Code and 2014 null. The verified map layer is bound on the current map as layer [resource id withheld].
Recorded workflow
- 01
Classify 2014 electricity values
Recorded vector-classify · succeeded
- 02
Benchmark country boundaries
Recorded source · succeeded
- 03
Electric power consumption per capita, 2014
Recorded output · succeeded
- 04
Frozen WDI electricity table
Recorded source · succeeded
- 05
Join 2014 electricity values
Recorded table-attribute-join · succeeded
- 06
Selected benchmark countries
Recorded vector-filter · succeeded
- 07
Classify 2014 electricity values
Recorded vector-classify · succeeded
- 08
Benchmark country boundaries
Recorded source · succeeded
- 09
Frozen WDI electricity table
Recorded source · succeeded
- 10
Join 2014 electricity values
Recorded table-attribute-join · succeeded
- 11
Selected benchmark countries
Recorded vector-filter · succeeded
- 12
Join 2014 electricity values
Recorded output · succeeded
- 13
Classify 2014 electricity values
Recorded output · succeeded
- 14
Benchmark country boundaries
Recorded source · succeeded
- 15
Frozen WDI electricity table
Recorded source · succeeded
- 16
Benchmark country boundaries
Recorded output · succeeded
- 17
Frozen WDI electricity 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’m checking the supplied country boundaries and frozen 2014 World Bank table first, then I’ll test the exact join and class breaks before I save the final map workflow.
get_analysis
Recorded tool call · completed
get_map_context
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
Progress update
I found the two supplied inputs. Next I’m reading their actual columns so I can use the exact 2014 field and the exact ISO join, without guessing or substituting anything.
update_analysis_brief
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
describe_processors
Recorded tool call · completed
run_trial
Recorded tool call · completed
Progress update
The first check worked. I confirmed the boundary file exposes `benchmark_row_id`, `NAME_EN`, and `ISO_A3`, and the frozen table exposes `Country Code` plus a numeric `2014` field. Next I’m testing the full fixed-country method itself: exact name filter, exact ISO join, and five-quantile classification with No data kept separate.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
assess_trial
Recorded tool call · completed
Progress update
I confirmed the fixed country list has 17 original rows, and one of them—France—uses the sentinel `-99`, so it should stay No data after the exact join. Now I’m testing the full country workflow so I can verify the final counts and the five quantile classes before publishing the map layer.
run_trial
Recorded tool call · completed
Progress update
I’ve now run the full method privately, and it behaved as expected: 17 benchmark country rows were kept, 16 got 2014 values, and France stayed unknown because its benchmark `ISO_A3` is `-99`. I’m doing one final inspection of the classed output now, then I’ll save the production workflow, run it, and add the verified layer to your map.
get_trial_report
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve verified the classed output too: 16 countries have known 2014 values, France is the single No data feature, and the classifier produced five populated quantile classes plus class 0 for No data. I’m saving the tested workflow next so I can run the exact same method as the final map layer and derived artifact.
assess_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
update_analysis_brief
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
Progress update
I found a draft issue and fixed the method details instead of downgrading the work. The saved workflow already had the right tested computation; the problem was only the contract bookkeeping paths and scope binding. I’m resaving the same workflow with those corrected now.
propose_workflow
Recorded tool call · completed
Progress update
The final workflow is now saved and validated. I’m running that exact tested method next, then I’ll inspect the delivered artifact, add the verified country layer to your map, and record the final result.
execute_workflow
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
get_workflow_run
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
assess_result
Recorded tool call · completed