Triple

T16535692
Position Surface form Disambiguated ID Type / Status
Subject Fisher County E401683 entity
Predicate hasCity P316 FINISHED
Object Rotan, Texas E1217858 NE FINISHED

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: Rotan, Texas | Statement: [Fisher County, hasCity, Rotan, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotan, Texas
Context triple: [Fisher County, hasCity, Rotan, Texas]
  • A. Rotan, Texas chosen
    Rotan, Texas is a small rural city in West Texas that serves as the primary population and economic center of Fisher County.
  • B. Rockett, Texas
    Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
  • C. Robstown, Texas
    Robstown, Texas is a small city in Nueces County that functions as part of the greater Corpus Christi urban and economic region.
  • D. Tolar, Texas
    Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
  • E. Robinson, Texas
    Robinson, Texas is a small city in Central Texas that functions as a suburban community of Waco within McLennan County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a913388190afebe40fcc42e731 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.