Map the renewable water resources per capita in Middle Eastern countries
The question
399319Map the renewable water resources per capita in Middle Eastern countries.
Exact submitted task and declared adaptations
Map the renewable water resources per capita in Middle Eastern countries.
Task conventions: Use the frozen country polygons and World Bank 2021 freshwater withdrawals in billion m³/year, 2021 withdrawals as percent of internal resources, and 2021 total population 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 SUBREGION in ["Western Asia"]; 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.Use an explicitly derived estimate of INTERNAL renewable water resources: withdrawal volume times 1e9 divided by (withdrawal percentage / 100), then divide by population. This recovers the reported ratio denominator, not total renewable resources including external inflows, available drinking water or utility capacity. Rounding, different collection methods and intermittently updated national observations limit accuracy. Missing inputs or nonpositive percentage/population are unknown, not zero. Western Asia is the fixed country-level Middle East approximation. Label both the derived and internal-only nature on the map and in the answer.
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 ER.H2O.FWTL.K3",
"edition": "Frozen GeoBenchX World Development Indicators; use 2021",
"units": {
"2021": "billion m\u00b3 per year"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "Freshwater withdrawals as percent of internal resources",
"edition": "Frozen World Development Indicators; use 2021",
"units": {
"2021": "percent of internal freshwater resources"
},
"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
Approval policy: explicit reduced or unavailable work is not preauthorized.; No accepted final answer was published.
- Duration
- 23m 24s
- Recorded Blue tool calls
- 66
- Total tokens
- 2,830,249
- Model cost
- Not recorded
- Application revision
- d50497ea9084f29c91b05406688f87035df98d8a
- Release
- terra-geobenchx-v1
Recorded final answer
No final answer was recorded within the evaluation window.
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
- 17
- Reported count
- Not recorded
- Computation verified
- No
- Answer fulfilled
- No
Full grading and rubric record
{
"expectedCount": 17,
"actualCount": null,
"expectedMetrics": null,
"actualMetrics": null,
"computationCorrect": false,
"answerFulfilled": false,
"adjudication": null,
"qualification": null,
"reasons": [
"Approval policy: explicit reduced or unavailable work is not preauthorized.",
"No accepted final answer was published."
]
}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 benchmark snapshots expose the expected country-code keys and year fields needed for the Western Asia join and the requested internal renewable water resources per capita formula?
run_trial · completed
Can the full Western Asia workflow preserve all 18 benchmark country rows, join the three 2021 country tables by exact code, derive the internal-only per-capita value, and classify it into quantiles with a separate No data category?
assess_trial · completed · assessment: sufficient
The supplied boundary snapshot exposes ISO_A3, SUBREGION, and benchmark_row_id, and filtering SUBREGION = Western Asia returns 18 benchmark country rows. The withdrawals and internal-share tables both expose Country Code plus a populated 2021 field. The supplied population snapshot also exposes Country Code and a populated 2021 field, so the user’s requested year is available in the supplied inputs despite the collection note mentioning a newer edition.
assess_trial · completed · assessment: insufficient
The Western Asia filter retained all 18 benchmark country rows. The withdrawals join matched all 18 rows by exact ISO_A3 to Country Code. The second join also matched all 18 rows, but it renamed the repeated year fields to 2021_x and 2021_y. The run then failed at share_field because it still referenced a nonexistent field named 2021 instead of the joined internal-share field 2021_y.
run_trial · completed
After correcting the internal-share field name to 2021_y on the retained two-join output, can the workflow complete the 2021 population join, derive the internal-only per-capita value, and produce the final five-quantile country classes with No data preserved?
assess_trial · completed · assessment: sufficient
The corrected method completed successfully from the retained two-join output. The internal-share field mapped from 2021_y without changing the 18 retained Western Asia country rows. The 2021 population join matched all 18 rows. The derived field internal_water_per_capita_m3py was created, and the final classified output retained all 18 rows with a value_class field ranging from 0 to 5. One country remained unknown in the derived value and classed into the separate No data category; the other 17 countries had known numeric values.
Recorded workflow
- 01
Boundary snapshot
Recorded source · skipped
- 02
Quantile classing
Recorded vector-classify · skipped
- 03
Western Asia internal renewable water resources per capita (2021)
Recorded output · skipped
- 04
Derived internal water per person
Recorded vector-field-calculate · skipped
- 05
Rename population
Recorded vector-field-calculate · skipped
- 06
Join population
Recorded table-attribute-join · skipped
- 07
Rename internal share
Recorded vector-field-calculate · skipped
- 08
Join internal share
Recorded table-attribute-join · skipped
- 09
blue-generated--[resource id withheld]
Recorded source · skipped
- 10
blue-generated--[resource id withheld]
Recorded source · skipped
- 11
blue-generated--[resource id withheld]
Recorded source · skipped
- 12
Western Asia countries
Recorded vector-filter · skipped
- 13
Rename withdrawals
Recorded vector-field-calculate · skipped
- 14
Join withdrawals
Recorded table-attribute-join · skipped
- 15
Quantile classing
Recorded vector-classify · succeeded
- 16
Derived internal water per person
Recorded vector-field-calculate · succeeded
- 17
Rename population
Recorded vector-field-calculate · succeeded
- 18
Join population
Recorded table-attribute-join · succeeded
- 19
Rename internal share
Recorded vector-field-calculate · succeeded
- 20
Retained share-join output
Recorded source · succeeded
- 21
blue-generated--[resource id withheld]
Recorded source · succeeded
- 22
blue-generated--[resource id withheld]
Recorded source · succeeded
- 23
Join population
Recorded output · succeeded
- 24
Derived internal water per person
Recorded output · succeeded
- 25
Quantile classing
Recorded output · succeeded
- 26
Retained share-join output
Recorded output · succeeded
- 27
Boundary snapshot
Recorded source · succeeded
- 28
Quantile classing
Recorded vector-classify · skipped
- 29
Derived internal water per person
Recorded vector-field-calculate · skipped
- 30
Rename population
Recorded vector-field-calculate · skipped
- 31
Join population
Recorded table-attribute-join · skipped
- 32
Rename internal share
Recorded vector-field-calculate · failed
- 33
Join internal share
Recorded table-attribute-join · succeeded
- 34
blue-generated--[resource id withheld]
Recorded source · succeeded
- 35
blue-generated--[resource id withheld]
Recorded source · succeeded
- 36
blue-generated--[resource id withheld]
Recorded source · succeeded
- 37
blue-generated--[resource id withheld]
Recorded source · succeeded
- 38
Western Asia countries
Recorded output · succeeded
- 39
Join withdrawals
Recorded output · succeeded
- 40
Join internal share
Recorded output · succeeded
- 41
Quantile classing
Recorded output · skipped
- 42
Boundary snapshot
Recorded output · succeeded
- 43
Western Asia countries
Recorded vector-filter · succeeded
- 44
Rename withdrawals
Recorded vector-field-calculate · succeeded
- 45
Join withdrawals
Recorded table-attribute-join · succeeded
- 46
Boundary snapshot
Recorded source · succeeded
- 47
Population snapshot
Recorded source · succeeded
- 48
Internal share snapshot
Recorded source · succeeded
- 49
Boundary snapshot
Recorded output · succeeded
- 50
Withdrawals snapshot
Recorded output · succeeded
- 51
Internal share snapshot
Recorded output · succeeded
- 52
Population snapshot
Recorded output · succeeded
- 53
Withdrawals snapshot
Recorded source · 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 going to build this from the supplied frozen inputs only, test the join and classing on the Western Asia country rows, then save and run the full country-layer workflow.
get_map_context
Recorded tool call · completed
get_analysis
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
Progress update
I found no saved work yet. Next I’m checking the exact source schemas so I can use the supplied fields and year columns without guessing.
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
The collections are immutable one-file snapshots, but the top-level metadata doesn’t list fields. I’m inspecting a few rows now to lock the exact column names before I build the join.
get_collection
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 can’t sample those snapshots directly until they’re brought into a private trial. I’m checking the processor catalog now for the exact join, field-calculation, and classing steps that fit this country-level map.
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
list_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
describe_processors
Recorded tool call · completed
describe_processors
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 got the method pieces. First I’m running a tiny private source check. I expect to see the exact join fields and whether the population snapshot really contains the requested 2021 field or only a different year.
run_trial
Recorded tool call · completed
Progress update
The source check finished. It confirms the key fields exist, and the tables clearly have Country Code. I’m drilling into the retained outputs now to confirm the exact year columns and then I’ll test the full Western Asia join and classing.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_trial_report
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve confirmed the source snapshots exist. The remaining uncertainty is practical: repeated year columns like “2021” may collide across the three joins, and I still need to verify whether the supplied population file really includes 2021. I’m checking those exact fields before I lock the workflow.
list_processors
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 narrowed it down to one last schema check: whether the joined tables keep the year names cleanly enough to compute the value field. After that I can save the full country workflow and run it.
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 confirmed the needed 2021 fields are present in all three tables, including population. Now I’m testing the full Western Asia computation end to end so I can see exactly how the repeated “2021” fields behave after successive joins.
run_trial
Recorded tool call · completed
Progress update
The source check answered its question: the exact keys exist, and all three indicator tables expose 2021, including population. I’m recording that now, then I can run the end-to-end Western Asia trial.
assess_trial
Recorded tool call · completed
Progress update
The end-to-end test exposed a real join detail, not a data gap: after the second table join, the repeated year field becomes `2021_x` and `2021_y`. I’m inspecting that partial output now, then I’ll correct the field reference and rerun the trial instead of changing the data.
Progress update
The full trial answered its question enough to fix the method: all 18 rows were retained, both joins matched, and the only failure was the expected `2021` field becoming `2021_y` after the second join. I’m recording that and rerunning from the retained join output so I don’t repeat the earlier work.
assess_trial
Recorded tool call · completed
Progress update
I’m reusing the saved two-join output and correcting only the affected field reference. If this works, I’ll have the final formula and classing method verified without rebuilding the earlier joins.
run_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
Progress update
The corrected branch succeeded. It kept all 18 country rows, added 2021 population, produced the derived numeric field, and returned a `value_class` field with one unknown country preserved as No data. I’m recording that success, then I’ll save the production workflow for the same Western Asia result.
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
Progress update
I’ve got a tested method now: 17 known country values and 1 true unknown carried into No data. I’m saving the production workflow next, with the remaining real limitation kept explicit instead of hidden in the math.
get_analysis
Recorded tool call · completed
get_analysis
Recorded tool call · completed
get_analysis
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
Progress update
I’ve compared the trials and the production version is straightforward now: same Western Asia filter, exact country-code joins, the corrected `2021_y` share field, then the derived value and quantile classing. I’m validating that saved workflow now.
propose_workflow
Recorded tool call · failed
Progress update
The validator caught a workflow wiring mistake, not a source problem: I had left the boundary source node disconnected. I’m correcting that so the saved workflow traces the final layer back to the supplied country polygons.
propose_workflow
Recorded tool call · completed
Progress update
The draft saved, but one requirement was still over-bound to collections it didn’t need. I’m trimming that bookkeeping so the proposal reflects the tested method cleanly before I mark the earlier finding as resolved.
propose_workflow
Recorded tool call · completed
Progress update
The saved workflow is now runnable; the only remaining blocker is review bookkeeping for the earlier field-name mistake. I’m resolving that against the successful correction trial so I can execute the exact saved proposal.
assess_plan
Recorded tool call · completed
Progress update
The method is now fully supported. I’m running the saved workflow for the final country layer, then I’ll inspect the delivered artifact, add the verified layer to the map, and record the final answer object.
execute_workflow
Recorded tool call · completed