Triple

T10873756
Position Surface form Disambiguated ID Type / Status
Subject Abbott Independent School District E256722 entity
Predicate city P40 FINISHED
Object Abbott, Texas E320693 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: Abbott, Texas | Statement: [Abbott Independent School District, city, Abbott, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbott, Texas
Context triple: [Abbott Independent School District, city, Abbott, Texas]
  • A. Abbott, Texas chosen
    Abbott, Texas is a small rural town in Hill County best known as the birthplace of country music legend Willie Nelson.
  • B. Aubrey, Texas
    Aubrey, Texas is a small town in Denton County known for its rural charm, horse ranches, and proximity to the Dallas–Fort Worth metroplex.
  • C. Aquilla, Texas
    Aquilla, Texas is a small rural town in central Texas known for its close-knit community and proximity to Aquilla Lake.
  • D. Hutto, Texas
    Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
  • E. Tatum, Texas
    Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751891b508190959784f212e06acb completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6d70e90819093ced18f59785ab9 completed April 18, 2026, 12:56 a.m.
Created at: April 8, 2026, 9:21 p.m.