Triple

T15592229
Position Surface form Disambiguated ID Type / Status
Subject Randall County E374773 entity
Predicate hasCountySeat P383 FINISHED
Object Canyon, Texas E582756 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: Canyon, Texas | Statement: [Randall County, hasCountySeat, Canyon, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canyon, Texas
Context triple: [Randall County, hasCountySeat, Canyon, Texas]
  • A. Canyon, Texas chosen
    Canyon, Texas is a small city in the Texas Panhandle known as the home of West Texas A&M University and a gateway to nearby Palo Duro Canyon State Park.
  • B. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • C. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • D. Crandall, Texas
    Crandall, Texas is a small city in North Texas that serves as a residential community within the Dallas–Fort Worth metropolitan area.
  • E. Big Sandy, Texas
    Big Sandy, Texas is a small rural town in East Texas known for its close-knit community and location within Upshur 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff875bb0808190a6a4e3b47b524689 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:12 a.m.