Triple

T19323021
Position Surface form Disambiguated ID Type / Status
Subject Daugherty Township, Pennsylvania E483273 entity
Predicate subdivisionName P747 FINISHED
Object Beaver County NE NERFINISHED

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: [Daugherty Township, Pennsylvania, subdivisionName, Beaver County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaver County
Context triple: [Daugherty Township, Pennsylvania, subdivisionName, Beaver County]
  • A. Beaver County
    Beaver County is a rural county in southwestern Utah known for its mountainous terrain, outdoor recreation, and the county seat of Beaver.
  • B. Beaver County chosen
    Beaver County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan area.
  • 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. Clearfield County
    Clearfield County is a largely rural county in central Pennsylvania known for its forests, outdoor recreation, and small communities.
  • E. Elk County
    Elk County is a rural county in north-central Pennsylvania known for its extensive forests, outdoor recreation, and free-roaming elk herd.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8a07508190a2e5f8972d1efba0 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.