Triple

T5009189
Position Surface form Disambiguated ID Type / Status
Subject Community College of Beaver County E112572 entity
Predicate county P75 FINISHED
Object Beaver County E20430 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: Beaver County | Statement: [Community College of Beaver County, county, Beaver County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaver County
Context triple: [Community College of Beaver County, county, Beaver County]
  • A. Beaver County chosen
    Beaver County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • B. Beaver County
    Beaver County is a rural county in southwestern Utah known for its mountainous terrain, outdoor recreation, and the county seat of Beaver.
  • C. Beaver County
    Beaver County is a sparsely populated county in the Oklahoma Panhandle known for its agricultural economy and wide-open High Plains landscape.
  • D. Adams County
    Adams County is a largely rural county in eastern Washington State known for its agricultural production, particularly wheat and potatoes.
  • E. Adams County
    Adams County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72eb05f881908d7dc3d7cd07b2ae completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9269e72881908ea49a77a83b8958 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.