Triple

T946797
Position Surface form Disambiguated ID Type / Status
Subject Beaver County E20430 entity
Predicate borderedBy P224 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: [Beaver County, borderedBy, Allegheny County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegheny County
Context triple: [Beaver County, borderedBy, 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. Allegheny County Council
    Allegheny County Council is the elected legislative body that enacts laws, approves budgets, and sets policy for Allegheny County, Pennsylvania.
  • C. Mahoning County, Ohio
    Mahoning County, Ohio is a county in northeastern Ohio known for its county seat of Youngstown and its historical role in the American steel industry.
  • D. Cuyahoga County
    Cuyahoga County is an urban county in northeastern Ohio that includes the city of Cleveland and serves as one of the state’s major population and economic centers.
  • E. Fayette County, Pennsylvania
    Fayette County, Pennsylvania is a largely rural county in the southwestern part of the state, known for its Appalachian landscape, historic industrial and coal-mining heritage, and attractions such as Fallingwater and Fort Necessity.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bcad2481908b83575b2fb80d14 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89f641c48190b7cff1073852a228 completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:40 p.m.