Triple

T13723815
Position Surface form Disambiguated ID Type / Status
Subject Jay Cooke E329102 entity
Predicate residence P75 FINISHED
Object Ogontz, Pennsylvania E1076281 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: Ogontz, Pennsylvania | Statement: [Jay Cooke, residence, Ogontz, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogontz, Pennsylvania
Context triple: [Jay Cooke, residence, Ogontz, Pennsylvania]
  • A. Ogontz, Pennsylvania chosen
    Ogontz, Pennsylvania was a historic suburban estate area north of Philadelphia, best known as the home of financier Jay Cooke and later the site of the Ogontz School for Girls.
  • B. Ogden, Pennsylvania
    Ogden, Pennsylvania is a small unincorporated community located within Upper Chichester Township in Delaware County.
  • C. Brownsville, Pennsylvania
    Brownsville, Pennsylvania is a historic borough along the Monongahela River known for its early role in American westward expansion and riverboat commerce.
  • D. Vandergrift, Pennsylvania
    Vandergrift, Pennsylvania is a small borough in Westmoreland County known historically as a planned steel town along the Kiskiminetas River.
  • E. Mount Pleasant, Pennsylvania
    Mount Pleasant, Pennsylvania is a small borough in Westmoreland County known historically for its coal mining and glass manufacturing industries.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb64655b08190befaf404ef378a8c completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:55 p.m.