Show rural population percentages worldwide
The question
748943Show rural population percentages worldwide.
Exact submitted task and declared adaptations
Show rural population percentages worldwide.
Task conventions: Use the frozen country polygons and World Bank 2023 rural and total population columns, both measured in people. The derived map is in percent of population. 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. 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. The mapped quantity is 100 times 2023 rural population divided by 2023 total population, joined by the same country code. Missing numerator/denominator or zero denominator is unknown. For rural-urban distribution, the rural share is sufficient and urban share is its complement.
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 SP.RUR.TOTL",
"edition": "Frozen GeoBenchX World Development Indicators; use 2023",
"units": {
"2023": "people"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "World Bank SP.POP.TOTL",
"edition": "Frozen GeoBenchX World Development Indicators; use 2023",
"units": {
"2023": "people"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 21m 37s
- Recorded Blue tool calls
- 64
- Total tokens
- 3,937,714
- 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
- 216
- Reported count
- 216
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 216,
"actualCount": 216,
"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
Which exact boundary and 2023 population fields should the workflow use, and do the three supplied immutable sources materialize cleanly for an exact code join?
run_trial · completed
Does the full-world workflow preserve all original country rows while joining the supplied 2023 rural and total population tables by exact country code, computing rural population percent, and classifying the result into quantiles with No data kept separate?
assess_trial · completed · assessment: sufficient
The supplied inputs materialized cleanly. The boundary source has 251 country features and exposes ISO_A3 plus benchmark_row_id. Both supplied World Bank tables expose Country Code and a numeric 2023 column, so the requested exact join keys and frozen 2023 year field names are confirmed.
assess_trial · completed · assessment: sufficient
The full private workflow preserved all 251 original country boundary rows and benchmark_row_id values through the exact-code joins. The exact join on ISO_A3 to Country Code left 34 boundary features unmatched, including sentinel and territory codes such as -99, VAT, SPM, PCN, ATF, MSR, BLM, AIA, HMD, SHN, JEY, and GGY. The derived field rural_pct_2023 was created in percent, ranged from 0 to 86.27700417359999, and remained unknown for 35 countries. The classified output kept all 251 rows, used class 0 for No data, and used numeric classes 1 through 5 for known values.
assess_result · completed · assessment: sufficient
The published country artifact preserves all 251 supplied boundary rows and benchmark_row_id values. It maps 2023 rural population share in percent for 216 country features and leaves 35 as No data under the required exact join rule. The delivered layer is already added to the map, and the published classifier kept five quantile classes for known values plus a separate No data class.
Recorded workflow
- 01
Supplied country boundaries
Recorded source · succeeded
- 02
Calculate rural population percent
Recorded vector-field-calculate · succeeded
- 03
Classify rural population percent
Recorded vector-classify · succeeded
- 04
2023 rural population share
Recorded output · succeeded
- 05
Join rural 2023 to boundaries
Recorded table-attribute-join · succeeded
- 06
Join total 2023 to boundaries
Recorded table-attribute-join · succeeded
- 07
Rename rural 2023 field
Recorded table-group-statistics · succeeded
- 08
Supplied rural population table
Recorded source · succeeded
- 09
Rename total 2023 field
Recorded table-group-statistics · succeeded
- 10
Supplied total population table
Recorded source · succeeded
- 11
Supplied country boundaries
Recorded source · succeeded
- 12
Calculate rural population percent
Recorded vector-field-calculate · succeeded
- 13
Classify rural population percent
Recorded vector-classify · succeeded
- 14
Join rural 2023 to boundaries
Recorded table-attribute-join · succeeded
- 15
Join total 2023 to boundaries
Recorded table-attribute-join · succeeded
- 16
Rename rural 2023 field
Recorded table-group-statistics · succeeded
- 17
Supplied rural population table
Recorded source · succeeded
- 18
Rename total 2023 field
Recorded table-group-statistics · succeeded
- 19
Supplied total population table
Recorded source · succeeded
- 20
Join total 2023 to boundaries
Recorded output · succeeded
- 21
Classify rural population percent
Recorded output · succeeded
- 22
Supplied country boundaries
Recorded source · succeeded
- 23
Supplied rural population table
Recorded source · succeeded
- 24
Supplied total population table
Recorded source · succeeded
- 25
Supplied country boundaries
Recorded output · succeeded
- 26
Supplied rural population table
Recorded output · succeeded
- 27
Supplied total population 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 boundary and table schemas first, then I’ll test the join and percentage/classification on a small private slice before saving the production method.
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found the Blue analysis tools. Next I’m reading the three supplied datasets so I can use the exact field names and the real world extent from the frozen boundary source.
Progress update
I have the frozen dataset identities and the country boundary extent. The next check is field-level: I need the exact ISO and 2023 column names before I can test the join and build the final artifact.
get_tool_help
Recorded tool call · completed
list_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
Progress update
The source metadata is fine, but direct artifact inspection needs a prepared output. I’m switching to bounded source inspection and, if needed, a source-only trial so I can read the exact field names without changing the requested data.
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve set the goal and checks. Now I’m running a tiny private source trial to expose the exact columns and confirm the three immutable inputs materialize cleanly before I save the production workflow.
run_trial
Recorded tool call · completed
Progress update
The private source test finished successfully while the turn was interrupted. I’ve confirmed the boundary row count and the exact join fields exist. Next I’m checking the 2023 columns explicitly, then I’ll save the full join-calculate-classify workflow and run it.
get_trial_report
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The field check job finished for the rural table. I’m reading the explicit sample rows now, then I’ll do the same for the total table and run one end-to-end private map trial before publishing the final layer.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve confirmed the exact 2023 fields in both supplied tables. Now I’m running the real method privately end to end — exact code join, percentage, then quantile classes — so I can inspect the actual country output before I publish it to the map.
list_processors
Recorded tool call · completed
describe_processors
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
run_trial
Recorded tool call · completed
assess_trial
Recorded tool call · completed
get_trial_report
Recorded tool call · completed
Progress update
The full private trial finished during the interruption. I’m checking its map preview and then I’ll save that exact tested computation as the production workflow instead of rebuilding it.
Progress update
I’ve confirmed the full method works privately: 251 country rows are preserved, the exact-code join leaves unmatched countries unknown, and the derived percent field classifies into five numeric classes plus No data. I’m extracting the class ranges now so the final map legend matches the verified output.
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’ve finished the private proof of method. Before I publish it, I’m recording that result and saving the exact tested computation as the production workflow so the map layer and final artifact come from a verified workflow, not just a private draft.
get_tool_help
Recorded tool call · completed
assess_trial
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
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I now have the observed class spans from the verified private output. Next I’m publishing the same tested computation and binding the final layer to your map so the delivered artifact and legend come from the production run.
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
execute_workflow
Recorded tool call · completed
Progress update
The production run finished in the background. I’m inspecting its exact delivered artifact now, then I’ll bind that verified output to the map and record the final answer object from the delivered result.
inspect_workflow_results
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The production layer is already on your map. I’m verifying the delivered artifact itself and reading the classifier’s published summary so the final answer uses the exact delivered counts and legend.
inspect_artifact
Recorded tool call · completed
Progress update
The last check finished. I’m reading the delivered country artifact preview now so I can close with the exact artifact selection, field names, counts, and map layer ID from the published result.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I already have the delivered preview and the classifier’s published breaks. I’m pulling the final No data summary once so the accepted result cites the delivered 216 known and 35 unknown country features directly from the published output.
inspect_artifact
Recorded tool call · completed
Progress update
I’ve verified the published output itself. I’m refreshing the saved brief one last time so its notes match the delivered layer, then I’ll record the accepted final result with the exact artifact selection and map layer ID.
update_analysis_brief
Recorded tool call · completed
revise_workflow
Recorded tool call · completed
Progress update
I updated the saved notes to match the delivered layer. I’m revalidating that saved proposal identity once, as Blue requests after a brief update, then I’ll record the final accepted result from the already-delivered artifact.
assess_result
Recorded tool call · completed