Triple

T22987404
Position Surface form Disambiguated ID Type / Status
Subject College Ward, Utah E571948 entity
Predicate locatedInCounty P40 FINISHED
Object Cache 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: Cache County | Statement: [College Ward, Utah, locatedInCounty, Cache County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cache County
Context triple: [College Ward, Utah, locatedInCounty, Cache County]
  • A. Cache County chosen
    Cache County is a largely rural county in northern Utah known for its agricultural base, scenic mountain landscapes, and the city of Logan, home to Utah State University.
  • B. Bannock County
    Bannock County is a county in southeastern Idaho, United States, known for encompassing the city of Pocatello, a regional economic and educational hub.
  • C. Audrain County
    Audrain County is a county in central Missouri known for its agricultural economy and its county seat, the city of Mexico.
  • D. Jayne County
    Jayne County is an American singer, songwriter, and pioneering transgender punk rock performer known for her influential role in the 1970s New York punk scene.
  • E. Treasure County
    Treasure County is a sparsely populated rural county in south-central Montana known for its agricultural landscape along the Yellowstone River.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829a96b8819082e0c6d7fb5d018f completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.