Show me map of electricity consumption in the World
The question
523121Show me map of electricity consumption in the World.
Exact submitted task and declared adaptations
Show me map of electricity consumption in the World.
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 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": "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
- 14m 30s
- Recorded Blue tool calls
- 49
- Total tokens
- 1,821,793
- 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
- 143
- Reported count
- 143
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 143,
"actualCount": 143,
"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 frozen snapshots support an exact left join from country ISO_A3 to WDI Country Code and a quantile choropleth on the 2014 value while retaining unknown countries?
assess_trial · completed · assessment: sufficient
The supplied country snapshot exposes ISO_A3 and benchmark_row_id, and the frozen WDI table exposes Country Code plus a numeric 2014 field. A left table join from ISO_A3 to Country Code preserved every tested country and left unmatched or missing values unknown. The classifier produced a numeric class field with 0 for No data and 1-5 for known values, plus quantile breaks and kWh-per-capita legend metadata.
assess_result · failed · requested assessment: sufficient
I produced the requested world country choropleth from the supplied frozen country polygons and the supplied frozen World Bank EG.USE.ELEC.KH.PC 2014 values. The final artifact retains all 251 original country features and benchmark_row_id values, adds numeric field 2014 and class field elec_class, and is displayed on the current map as layer [resource id withheld]. The exact left join matched 217 country features and left 34 unmatched; the final classified output contains 143 countries with known 2014 values and 108 No data countries. The classifier produced five quantile classes for known values with breaks at 600.5074468359913, 1856.6549028846907, 3729.2413629083303 and 6637.020144593491 kWh per capita.
assess_result · completed · assessment: sufficient
I produced the requested world country choropleth from the supplied frozen country polygons and the supplied frozen World Bank EG.USE.ELEC.KH.PC 2014 values. The final artifact retains all 251 original country features and benchmark_row_id values, adds numeric field 2014 and class field elec_class, and is displayed on the current map as layer [resource id withheld]. The exact left join matched 217 country features and left 34 unmatched; the final classified output contains 143 countries with known 2014 values and 108 No data countries. The classifier produced five quantile classes for known values with breaks at 600.5074468359913, 1856.6549028846907, 3729.2413629083303 and 6637.020144593491 kWh per capita.
Recorded workflow
- 01
Classify 2014 electricity values
Recorded vector-classify · succeeded
- 02
World Bank country boundaries
Recorded source · succeeded
- 03
World electricity use per person, 2014
Recorded output · succeeded
- 04
Electric power consumption per capita
Recorded source · succeeded
- 05
Join 2014 electricity values
Recorded table-attribute-join · succeeded
- 06
Classify 2014 electricity values
Recorded vector-classify · succeeded
- 07
Country polygons sample
Recorded source · succeeded
- 08
Electricity table sample
Recorded source · succeeded
- 09
Join 2014 electricity values
Recorded table-attribute-join · succeeded
- 10
Country polygons sample
Recorded output · succeeded
- 11
Electricity table sample
Recorded output · succeeded
- 12
Join 2014 electricity values
Recorded output · succeeded
- 13
Classify 2014 electricity values
Recorded output · succeeded
- 14
Classify 2014 electricity values
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 build the country-level 2014 electricity-use choropleth from the supplied frozen inputs, keep unknown countries in the result, test the exact join/class rules on a small private slice first, then run the full world workflow and add the final layer to your map.
get_collection
Recorded tool call · completed
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found the frozen country polygons and frozen WDI table, and their declared world extents match the expected global coverage. Next I’m checking the exact field names and a sample of values so I can join ISO_A3 to Country Code without guessing anything.
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
Progress update
I have the analytical goal recorded now. The main remaining uncertainty is mechanical: the exact field names and which supported processors best preserve every country while joining and classifying the supplied 2014 values. I’m discovering those processor schemas next so I can test the real method instead of guessing.
list_processors
Recorded tool call · completed
list_processors
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
get_tool_help
Recorded tool call · completed
Progress update
I’ve got the likely processors: a left table join to keep every country, then a quantitative vector classifier that already handles quantiles, upper-inclusive breaks and a separate No data class. I’m running a small Europe-sized private slice now to verify the exact field names, join retention and class behavior before I scale it to the full world.
run_trial
Recorded tool call · completed
Progress update
The small test succeeded on the supplied snapshots. It confirmed the exact join keys and that a left join keeps unmatched countries as unknown. One detail still needs checking before I scale up: the classifier summary text describes the class-boundary rule differently from the processor’s documented behavior, so I’m verifying the actual result fields before I save the full-world run.
get_trial_report
Recorded tool call · completed
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
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
The method is ready to scale: exact left join, then quantile classification on the 2014 field, with No data kept separate. I’m saving that tested full-world workflow now, including the fixed year, units and join rules from your instructions.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
Progress update
The full-world workflow validates cleanly. I’m running it now, then I’ll inspect the finished country artifact, confirm the class breaks and counts, and add the final choropleth layer to your map.
Progress update
The world run finished in the background. I’m inspecting the final country dataset and the class summary now, then I’ll bind the verified choropleth layer to your map and record the final result object with the exact counts and layer ID.
inspect_workflow_results
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
Progress update
I have the global counts from the final class summary: 143 countries with a known 2014 value and 108 unknowns, with five quantile classes plus a separate No data class. I’m doing one last bounded inspection of the delivered country layer so I can verify the retained fields and finish the final result record cleanly.
get_tool_help
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’m checking the actual class assignments at the reported break values now. That settles the only remaining ambiguity between the classifier summary text and the processor’s documented boundary rule before I file the final result.
inspect_artifact
Recorded tool call · completed
assess_result
Recorded tool call · failed
assess_result
Recorded tool call · completed