Triple

T12787089
Position Surface form Disambiguated ID Type / Status
Subject Fort Worth Central Library E305658 entity
Predicate serves P98 FINISHED
Object Fort Worth E14111 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: Fort Worth | Statement: [Fort Worth Central Library, serves, Fort Worth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Worth
Context triple: [Fort Worth Central Library, serves, Fort Worth]
  • A. Fort Worth, Texas chosen
    Fort Worth, Texas is a major city in North Texas known for its historic Western heritage, cultural districts, and role as a key economic and transportation hub in the Dallas–Fort Worth metroplex.
  • B. Denton
    Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
  • C. Denton
    Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
  • D. Grand Prairie
    Grand Prairie is a mid-sized suburban city in the Dallas–Fort Worth metropolitan area known for its family attractions, parks, and growing residential communities.
  • E. Dallas, Texas
    Dallas, Texas is a major metropolitan city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and telecommunications.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746077b288190b8ca7927352a7904 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 5:29 p.m.