Triple

T20659498
Position Surface form Disambiguated ID Type / Status
Subject Texas State Highway 110 E507719 entity
Predicate connectsCommunity P12608 FINISHED
Object Troup, Texas 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: Troup, Texas | Statement: [Texas State Highway 110, connectsCommunity, Troup, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troup, Texas
Context triple: [Texas State Highway 110, connectsCommunity, Troup, Texas]
  • A. Troup, Texas chosen
    Troup, Texas is a small city in East Texas that functions as part of the broader Tyler metropolitan area.
  • B. Trawick, Texas
    Trawick, Texas is a small unincorporated rural community located in Nacogdoches County in East Texas.
  • C. Throckmorton, Texas
    Throckmorton, Texas is a small rural town in north-central Texas that serves as the county seat of Throckmorton County.
  • 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. Teague, Texas
    Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eff7a88190be0bdea227616e02 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.