Triple

T5519645
Position Surface form Disambiguated ID Type / Status
Subject McKeesport E144772 entity
Predicate county P75 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: [McKeesport, county, Allegheny County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegheny County
Context triple: [McKeesport, county, 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097b54dc481909dfb886a0b9d8495 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:33 p.m.