{
  "releaseId": "terra-geobenchx-v1",
  "taskId": "488696",
  "question": "Show urban green space percentage in European cities' countries.",
  "submittedPrompt": "Show urban green space percentage in European cities' countries.\n\nTask conventions: This is a closed-catalog task. The complete original GeoBenchX source inventory is listed below; it describes available source types, not actual measurements. Do not supplement it with live data or claim numerical evidence from general knowledge. General knowledge may be used for definitions and explanation. Answer the original question as far as this information environment supports, accurately distinguishing observations, inference and uncertainty. This source-availability/control cohort supplies catalog metadata rather than the observation files and is reported separately from computational tasks.\n- DATA_CATALOG: Forest area (sq. km)\n- DATA_CATALOG: Forest area (% of land area)\n- DATA_CATALOG: Electric power consumption (kWh per capita)\n- DATA_CATALOG: Annual freshwater withdrawals, total (billion cubic meters)\n- DATA_CATALOG: Annual freshwater withdrawals, total (% of internal resources)\n- DATA_CATALOG: Agriculture, value added (% of GDP)\n- DATA_CATALOG: GDP per capita (current US$)\n- DATA_CATALOG: Labor force, total\n- DATA_CATALOG: Net migration\n- DATA_CATALOG: Fertility rate, births per woman\n- DATA_CATALOG: Population, total\n- DATA_CATALOG: Rural population, total\n- DATA_CATALOG: Greenhouse gases emission, per capita, tons of carbon dioxide-equivalents \n- DATA_CATALOG: CO2 emissions per capita, tons\n- DATA_CATALOG: Incidence of Tuberculosis Disease, 2023, Massachusetts Counties\n- DATA_CATALOG: Incidence of Tuberculosis Disease, 2023, New York State Counties\n- DATA_CATALOG: Rail lines (total route-km)\n- DATA_CATALOG: Regional GDP in departments (provinces) of Peru, constant prices 2007, thousand of soles\n- GEO_CATALOG: Countries\n- GEO_CATALOG: Amtrak railway stations\n- GEO_CATALOG: Railway lines in Bangladesh\n- GEO_CATALOG: Cities and Towns of the United States, 2014\n- GEO_CATALOG: Railway Network of North America\n- GEO_CATALOG: Current Wildland Fire Incident Locations, size in acres\n- GEO_CATALOG: Rivers in North America\n- GEO_CATALOG: Lakes in North America\n- GEO_CATALOG: USA counties borders\n- GEO_CATALOG: USA states borders\n- GEO_CATALOG: Earthquakes occurences and magnitude March 15- February 14 2025\n- GEO_CATALOG: Rivers in South America\n- GEO_CATALOG: Seaports of Latin America\n- GEO_CATALOG: Railways in Brazil\n- GEO_CATALOG: Mineral extraction facilities in Africa\n- GEO_CATALOG: Power stations in Africa\n- GEO_CATALOG: Railways in Africa\n- GEO_CATALOG: Municipalities of Brazil\n- GEO_CATALOG: Regions of Peru\n- GEO_CATALOG: Provinces of Peru\n- RASTER_CATALOG: Accumulated snow cover season 2023-2024, USA, inches\n- RASTER_CATALOG: Accumulated snow cover season 2024-2025, USA, inches\n- RASTER_CATALOG: Tibetan Plato South Asia flood extent, August 2018\n- RASTER_CATALOG: Bangladesh population, 2018, people, resolution 1 km\n- RASTER_CATALOG: USA population 2020, people, resolution 1 km\n- RASTER_CATALOG: Chile population, 2020, people, resolution 1 km\n- RASTER_CATALOG: Angola population, 2020, people, resolution 1 km\n- RASTER_CATALOG: Peru, Bolivia, Argentina, Chile flood, February 2018\n- RASTER_CATALOG: Peru population, 2018, 1 km resolution\n- RASTER_CATALOG: Brazil population, 2018, 1 km resolution\n- RASTER_CATALOG: Algeria population density per 1 km 2020, 1 km resolution\n\n\n\nGive a concise ordinary-language answer. No artificial count, result artifact, workflow or map is required when the answer does not warrant one. Do not invent observations or claim an analysis was run.\n\nSupplied immutable inputs:\n[]",
  "finalAnswer": "I can only give a source-availability conclusion here: urban green space percentage for European cities’ countries is not available from the listed catalog.\n\nThis environment is metadata-only, and the closest listed sources are “Forest area (% of land area)” and “Countries.” That forest measure is country-wide forest cover, not urban green space, and the only city layer listed is “Cities and Towns of the United States, 2014,” not Europe.\n\nSo the unanswered part is the actual percentages. Next step: use a dataset that directly measures urban green space in European cities, or switch to the weaker proxy of country-level forest area %.\n\n### Limitations\n\n- This environment provides catalog inventory metadata rather than observation files or numeric values.\n- No listed source directly measures urban green space for European cities.\n- No European city layer is listed; the only listed city layer is “Cities and Towns of the United States, 2014”.\n- The supplied catalog lacks a direct urban green space source for European cities and provides metadata only, not observation values.\n- **Urban green space:** The inventory does not list urban green space data for European cities, and the only listed city layer is US-only.",
  "checks": {
    "expectedCount": null,
    "actualCount": null,
    "expectedMetrics": null,
    "actualMetrics": null,
    "computationCorrect": null,
    "answerFulfilled": true,
    "adjudication": {
      "reviewedAt": "2026-10-07T08:54:08.203223+00:00",
      "reviewer": "Codex evaluation operator (AI-assisted); not blinded or external",
      "rubricFingerprint": "fd9066f11ab1740bd003fdfe47ad857f65bb55b5428cd7ba3cfafe3bd05d1982",
      "finalEventId": "[resource id withheld]",
      "finalTextHash": "7fb6f4d73eecd1fbf1e361b20ee192354ba553d32897bcf85dcf145847254bfd",
      "snapshotSha256AtReview": "a7c931502e7c37ffb9d0c45473dea4f75f70badbfd6b5888cbec1166004fb643",
      "evidenceReviewed": [
        "Complete accepted replacement final answer; not the interrupted original",
        "Recorded tool names, statuses and outputs relevant to claimed work",
        "Recorded workflow/job/artifact presence",
        "Frozen source inventory, task environment and case-specific rubric"
      ],
      "criteria": {
        "specific_obstacle": {
          "satisfied": true,
          "explanation": "Identifies missing urban-green-space observations and European city geography; the listed city source is US-only."
        },
        "no_false_proxy": {
          "satisfied": true,
          "explanation": "Explicitly distinguishes national forest cover from urban green space, with the weaker proxy offered only as a separate alternative."
        },
        "scope_honesty": {
          "satisfied": true,
          "explanation": "Limits availability conclusions to the metadata-only supplied catalog."
        },
        "no_fabrication": {
          "satisfied": true,
          "explanation": "Provides no percentages or claimed city map; two completed brief/read calls and no jobs/artifacts."
        },
        "useful_next_step": {
          "satisfied": true,
          "explanation": "Requests direct European city green-space data and keeps a forest-cover question separate from the original request."
        }
      },
      "cohort": "metadata-only qualitative control; distinct from computational correctness"
    },
    "qualification": "Operator-adjudicated, not blinded. Reported separately from exact computed/map results.",
    "reasons": []
  },
  "activity": [
    {
      "at": "2026-10-07T08:51:49.398149Z",
      "title": "get_analysis",
      "detail": "Recorded tool call · completed"
    },
    {
      "at": "2026-10-07T08:52:38.969862Z",
      "title": "Progress update",
      "detail": "I checked the supplied inventory only. I’m recording the supported result and the blocking data gap, then I’ll give the concise answer."
    },
    {
      "at": "2026-10-07T08:52:44.141667Z",
      "title": "update_analysis_brief",
      "detail": "Recorded tool call · completed"
    }
  ],
  "workflow": [],
  "previews": [],
  "activityDisclosure": "Recorded 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.",
  "artifacts": [],
  "snapshotSha256": "b876f0b329b2a86d15a0ec43de1fb85209f42847e81a9c415362fd7244c3109b",
  "investigations": []
}