Map population distribution across English-speaking Caribbean islands
The question
986773Map population distribution across English-speaking Caribbean islands.
Exact submitted task and declared adaptations
Map population distribution across English-speaking Caribbean islands.
Task conventions: Use the frozen country polygons and World Bank SP.POP.TOTL 2023 column, in people. 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 ["Antigua and Barbuda", "The Bahamas", "Barbados", "Dominica", "Grenada", "Jamaica", "Saint Kitts and Nevis", "Saint Lucia", "Saint Vincent and the Grenadines", "Trinidad and Tobago", "Anguilla", "Bermuda", "British Virgin Islands", "Cayman Islands", "Montserrat", "Turks and Caicos Islands"]; 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 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
- 12m 58s
- Recorded Blue tool calls
- 48
- Total tokens
- 2,235,239
- 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
- 14
- Reported count
- 14
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 14,
"actualCount": 14,
"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 full fixed-geometry workflow keep the exact benchmark country rows, join only the frozen SP.POP.TOTL 2023 values by ISO_A3 = Country Code, and produce the required quantile choropleth with a distinct No data class?
assess_trial · completed · assessment: sufficient
The full requested method worked on the fixed benchmark geography. The filter retained exactly 16 country features from the supplied NAME_EN list and preserved benchmark_row_id and geometry. The left join matched 14 of 16 features on exact ISO_A3 = Country Code and left 2 features unmatched with null 2023 values: Anguilla (AIA) and Montserrat (MSR). The classified output preserved all 16 rows, kept a distinct No data class 0 for the 2 unknown countries, and created five quantile classes for the 14 known 2023 values. The class summary reported breaks at 57,195.4, 77,291.6, 121,686.0, and 334,246.2 people, with class counts 0:2, 1:3, 2:3, 3:2, 4:3, 5:3.
assess_result · completed · assessment: sufficient
The final run delivered one classified country artifact and added it to the map as layer [resource id withheld]. The final artifact contains 16 benchmark country features, preserves benchmark_row_id and geometry, carries the numeric 2023 population field in people, and includes the population_class field. Exact ISO_A3 = Country Code joining produced 14 known 2023 values and 2 unknown rows: Anguilla (AIA) and Montserrat (MSR). The final class summary reports five quantile classes with breaks at 57,195.4, 77,291.6, 121,686.0, and 334,246.2 people, plus class 0 for No data.
Recorded workflow
- 01
Classify 2023 population
Recorded vector-classify · succeeded
- 02
Benchmark country boundaries
Recorded source · succeeded
- 03
English-speaking Caribbean population totals, 2023
Recorded output · succeeded
- 04
Join frozen 2023 population
Recorded table-attribute-join · succeeded
- 05
Keep fixed Caribbean benchmark countries
Recorded vector-filter · succeeded
- 06
Frozen SP.POP.TOTL table
Recorded source · succeeded
- 07
Classify 2023 population
Recorded vector-classify · succeeded
- 08
Benchmark country boundaries
Recorded source · succeeded
- 09
Join frozen 2023 population
Recorded table-attribute-join · succeeded
- 10
Keep fixed Caribbean benchmark countries
Recorded vector-filter · succeeded
- 11
Frozen SP.POP.TOTL table
Recorded source · succeeded
- 12
Keep fixed Caribbean benchmark countries
Recorded output · succeeded
- 13
Join frozen 2023 population
Recorded output · succeeded
- 14
Classify 2023 population
Recorded output · succeeded
- 15
Classify 2023 population
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 setting up the analysis brief and checking the available Blue tools for a fixed 2023 country-population join over the named Caribbean countries. Then I’ll test the exact join and classing on the supplied frozen inputs before saving the production workflow.
Progress update
I have the core analysis tools. Next I’m checking the processor help so I can build a minimal tested workflow that keeps all original country rows, joins only the exact 2023 field, computes five quantile classes over the fixed geography, and preserves a separate No data category.
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found the supplied frozen collections. Next I’m inspecting the exact items to confirm the usable asset selections and field names before I build the join and quantile classes.
get_item
Recorded tool call · completed
get_item
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
Progress update
I found the likely method: filter the benchmark boundaries to the fixed name list, left-join the frozen SP.POP.TOTL table on ISO_A3 = Country Code, then classify the joined 2023 field into five quantiles with a separate No data class. I’m reading the exact schemas now so the trial matches the processor contracts and preserves unmatched rows.
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
Progress update
I have the inputs. I’m checking the processor outputs now so I can inspect the right final artifact and add the correct classified layer to the map without guessing output IDs.
describe_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I have a complete candidate method now. Before I run it, I’m recording the expected result and checks in the analysis brief so the final verification covers the fixed geography, exact 2023 join, retained unknowns, and five-quantile legend rules.
update_analysis_brief
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’m running the full fixed-scope private test now, not just a setup check. I expect it to return the exact 16 benchmark country rows, preserve any unmatched rows as unknown, and produce the required 2023 quantile classes and legend.
run_trial
Recorded tool call · completed
Progress update
The trial finished successfully. I’m checking the actual rows and preview now so I can confirm the exact 16-country membership, the unmatched countries, and the classed output before I save the production workflow.
get_trial_report
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
The method worked on the full requested geography: 16 benchmark features were kept, 14 matched the frozen 2023 table, and 2 stayed unknown. I’m reading the saved workflow schema now so I can save the tested production version with the fixed geography, fixed join keys, and fixed quantile settings before I run the final deliverable.
Progress update
I already have enough evidence that the method works. I’m grabbing the exact classified rows and the proposal schema details now so the saved workflow and final checks use the tested artifact and fixed rules, not a rebuilt guess.
inspect_artifact
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
assess_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve verified the tested computation. Before saving it, I’m refreshing the brief and workflow requirement notes so the final handoff reflects what is now confirmed: 16 kept features, 14 known values, and 2 real No data rows.
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve narrowed the study extent to the actual benchmark country bounds observed in the tested output, so the saved workflow reflects the real Caribbean footprint rather than the whole world extent of the source files.
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve got the tested method and current limits. I’m saving that exact computation now as the final workflow draft with the fixed country list, exact join keys, 2023 field, and quantile class settings locked in.
propose_workflow
Recorded tool call · completed
Progress update
The saved draft needs a straightforward fix: the copied trial carried the world-scale source scope into the proposal. I’m correcting that by saving the same tested steps as a direct computation with the actual Caribbean study extent and the proper parameter paths.
propose_workflow
Recorded tool call · completed
Progress update
The final workflow is ready and uses the fixed Caribbean extent. I’m running it now, then I’ll inspect the delivered artifact, add the classified layer to the map, and finish the result check with the exact artifact selection.
execute_workflow
Recorded tool call · completed
Progress update
The final run completed in the background. I’m inspecting its actual output receipts now so I can bind the delivered artifact, verify the classed legend, and add the correct final layer to the map.
get_workflow_run
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
I have the finished map binding. I’m doing one last bounded inspection of the final delivered artifact and class summary so the accepted result cites the exact 2023 values, unknown rows, and legend breaks from the final run.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The final layer is already on the map. I’m reading the completed final inspections now so I can lock the exact output rows, legend breaks, and layer ID into the accepted result object.
inspect_artifact
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
assess_result
Recorded tool call · completed