Triple

T5858136
Position Surface form Disambiguated ID Type / Status
Subject South Hills E130205 entity
Predicate contains P35 FINISHED
Object Bethel Park E146692 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: Bethel Park | Statement: [South Hills, contains, Bethel Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethel Park
Context triple: [South Hills, contains, Bethel Park]
  • A. Bethel Park chosen
    Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
  • 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. Wilkinsburg
    Wilkinsburg is a borough in Allegheny County, Pennsylvania, known as an inner-ring suburb directly east of Pittsburgh.
  • E. Allison Park, Pennsylvania
    Allison Park, Pennsylvania is a suburban community in Allegheny County, north of Pittsburgh, known as a residential area within the Pittsburgh metropolitan region.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0358654e48190908e7390a0164726 completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfdd5920819087f48db024e4a3ed completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:56 p.m.