Triple

T18621598
Position Surface form Disambiguated ID Type / Status
Subject Coryell County E455163 entity
Predicate hasCity P316 FINISHED
Object McGregor, 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: McGregor, Texas | Statement: [Coryell County, hasCity, McGregor, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McGregor, Texas
Context triple: [Coryell County, hasCity, McGregor, Texas]
  • A. McGregor, Texas chosen
    McGregor, Texas is a small Central Texas city known for its agricultural roots and proximity to Waco, as well as hosting aerospace and manufacturing facilities.
  • B. Murchison, Texas
    Murchison, Texas is a small rural city located in eastern Texas within Henderson County.
  • C. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • D. Reagan, Texas
    Reagan, Texas is a small unincorporated rural community located in Falls County in central Texas.
  • E. Malakoff, Texas
    Malakoff, Texas is a small city in East Texas known historically for its brick manufacturing and proximity to Cedar Creek Reservoir.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0146f48190a872032db6e660c6 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.