Triple

T18732328
Position Surface form Disambiguated ID Type / Status
Subject Woodland Hills School District E458063 entity
Predicate servesCity P82 FINISHED
Object North Braddock 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: North Braddock | Statement: [Woodland Hills School District, servesCity, North Braddock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Braddock
Context triple: [Woodland Hills School District, servesCity, North Braddock]
  • A. North Braddock, Pennsylvania chosen
    North Braddock, Pennsylvania is a small borough in Allegheny County near Pittsburgh, historically known as a steel mill community and residential area adjacent to the Monongahela River.
  • B. Upper St. Clair
    Upper St. Clair is a suburban township in southwestern Pennsylvania known for its affluent residential character and highly ranked public school system.
  • C. Aliquippa
    Aliquippa is a small industrial city in western Pennsylvania known historically for its steel production and location along the Ohio River.
  • D. Bethel Park
    Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
  • E. Wilkinsburg
    Wilkinsburg is a borough in Allegheny County, Pennsylvania, known as an inner-ring suburb directly east of Pittsburgh.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7854748190b66c4aaadfd67f29 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.