Triple

T21164530
Position Surface form Disambiguated ID Type / Status
Subject Mitchell County, Texas E521524 entity
Predicate countySeat P383 FINISHED
Object Colorado City, 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: Colorado City, Texas | Statement: [Mitchell County, Texas, countySeat, Colorado City, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colorado City, Texas
Context triple: [Mitchell County, Texas, countySeat, Colorado City, Texas]
  • A. Colorado City, Texas chosen
    Colorado City, Texas is a small West Texas community known historically for ranching, oil, and its role as a regional trade center.
  • B. Coolidge, Texas
    Coolidge, Texas is a small rural town in Limestone County known for its agricultural surroundings and location in central Texas.
  • C. Rosebud, Texas
    Rosebud, Texas is a small rural city in central Texas known for its agricultural community and historic small-town character.
  • D. Breckenridge, Texas
    Breckenridge, Texas is a small city in North Central Texas known historically for its oil boom heritage and role as the administrative and commercial center of Stephens County.
  • E. Denver City, Texas
    Denver City, Texas is a small West Texas town in the Permian Basin known for its oil and gas industry and role as a local commercial 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270e15bc81908d609198e573040e completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.