Triple

T2178049
Position Surface form Disambiguated ID Type / Status
Subject Allegheny, Pennsylvania E48576 entity
Predicate alsoKnownAs P39 FINISHED
Object Allegheny City E48576 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: Allegheny City | Statement: [Allegheny, Pennsylvania, alsoKnownAs, Allegheny City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegheny City
Context triple: [Allegheny, Pennsylvania, alsoKnownAs, Allegheny City]
  • A. Allegheny, Pennsylvania chosen
    Allegheny, Pennsylvania is a historic former city (now part of Pittsburgh) known for its 19th-century industrial growth and as an early center of the Bible Student movement associated with the Watch Tower Society.
  • B. McKeesport
    McKeesport is a city in southwestern Pennsylvania located near the confluence of the Monongahela and Youghiogheny Rivers, historically known for its steel industry.
  • C. Aliquippa
    Aliquippa is a small industrial city in western Pennsylvania known historically for its steel production and location along the Ohio River.
  • D. Bessemer, Pennsylvania
    Bessemer, Pennsylvania is a small borough in western Pennsylvania known historically for its steel and industrial heritage.
  • E. Chartiers, Pennsylvania
    Chartiers, Pennsylvania is a community in the Pittsburgh area best known as the birthplace of Baseball Hall of Famer Honus Wagner.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeee0a988190b0729f9070aa4503 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af200948190a2d8866946012de4 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:45 p.m.