Triple

T21009835
Position Surface form Disambiguated ID Type / Status
Subject Hurst-Euless-Bedford area E517514 entity
Predicate adjacentCity P5707 FINISHED
Object Bedford, 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: Bedford, Texas | Statement: [Hurst-Euless-Bedford area, adjacentCity, Bedford, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedford, Texas
Context triple: [Hurst-Euless-Bedford area, adjacentCity, Bedford, Texas]
  • A. Bedford, Texas chosen
    Bedford, Texas is a suburban city in northeastern Tarrant County situated between Dallas and Fort Worth, known as part of the Mid-Cities region.
  • B. Fairfield, Texas
    Fairfield, Texas is a small city in East-Central Texas known as a regional hub for outdoor recreation, ranching, and local government services.
  • C. Benbrook, Texas
    Benbrook, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its proximity to Benbrook Lake and family-oriented residential communities.
  • D. Buda, Texas
    Buda, Texas is a small city in Central Texas, located just south of Austin and known for its rapid suburban growth and annual wiener dog races.
  • E. Brownwood, Texas
    Brownwood, Texas is a small central Texas city that serves as a regional hub for commerce, education, and healthcare in the surrounding rural area.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.