Triple

T12025467
Position Surface form Disambiguated ID Type / Status
Subject Sweetwater E286263 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Nolan County NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nolan County | Statement: [Sweetwater, locatedInAdministrativeTerritory, Nolan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nolan County
Context triple: [Sweetwater, locatedInAdministrativeTerritory, Nolan County]
  • A. Nolan County chosen
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • B. Reeves County
    Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
  • C. McLennan County
    McLennan County is a county in central Texas best known for encompassing the city of Waco, home to Baylor University.
  • D. Gregg County
    Gregg County is a county in East Texas best known for its county seat, Longview, and its role in the region’s oil and gas industry.
  • E. Brewster County
    Brewster County is a vast, sparsely populated county in West Texas known for encompassing much of the Big Bend region along the Rio Grande.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
Created at: April 8, 2026, 9:47 p.m.