Triple

T10416065
Position Surface form Disambiguated ID Type / Status
Subject Pittsburgh Regional Transit E245518 entity
Predicate owner P347 FINISHED
Object Allegheny County E19743 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 County | Statement: [Pittsburgh Regional Transit, owner, Allegheny County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegheny County
Context triple: [Pittsburgh Regional Transit, owner, Allegheny County]
  • A. Allegheny County chosen
    Allegheny County is a populous county in western Pennsylvania that includes the city of Pittsburgh as its seat and economic center.
  • B. Lackawanna County
    Lackawanna County is a county in northeastern Pennsylvania that includes the city of Scranton as its largest municipality and county seat.
  • C. Blair County, Pennsylvania
    Blair County, Pennsylvania is a county in central Pennsylvania whose seat is Altoona, a historic railroad and industrial hub.
  • D. Erie County, Pennsylvania
    Erie County, Pennsylvania is a county in the northwestern corner of the state along Lake Erie, known for its shoreline, the city of Erie, and the popular Presque Isle State Park.
  • E. Cambria County
    Cambria County is a county in west-central Pennsylvania known historically for its coal mining and steel industries, with Johnstown as its largest city.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea108fec8190819423630888fa2b completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69de54d83e44819097abf6714bd48680 completed April 14, 2026, 2:53 p.m.
Created at: April 6, 2026, 12:10 p.m.