Triple

T914814
Position Surface form Disambiguated ID Type / Status
Subject Allegheny County E19743 entity
Predicate contains P35 FINISHED
Object Fox Chapel E112292 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: Fox Chapel | Statement: [Allegheny County, contains, Fox Chapel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fox Chapel
Context triple: [Allegheny County, contains, Fox Chapel]
  • A. Langhorne
    Langhorne is the middle name of Samuel Langhorne Clemens, better known by his pen name Mark Twain, the famed American author and humorist.
  • B. Fox Chapel, Pennsylvania, United States chosen
    Fox Chapel, Pennsylvania, United States is an affluent suburban borough near Pittsburgh known for its wooded residential character and high quality of life.
  • C. Bensalem Township
    Bensalem Township is a suburban community in Bucks County, Pennsylvania, located just northeast of Philadelphia within its metropolitan area.
  • D. Mount Pleasant, Pennsylvania
    Mount Pleasant, Pennsylvania is a small borough in Westmoreland County known historically for its coal mining and glass manufacturing industries.
  • E. Overbrook
    Overbrook is a residential neighborhood in the western section of Philadelphia, Pennsylvania, known for its tree-lined streets, rowhouses, and proximity to Saint Joseph’s University.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c017e148190b368419cff3872f6 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:39 p.m.