Triple

T15435646
Position Surface form Disambiguated ID Type / Status
Subject Roberto Clemente Bridge E369753 entity
Predicate region P40 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: [Roberto Clemente Bridge, region, Allegheny County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegheny County
Context triple: [Roberto Clemente Bridge, region, 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d40d3388190b1bd724238f928b1 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:21 a.m.