Triple

T10307198
Position Surface form Disambiguated ID Type / Status
Subject Wasatch County, Utah E241794 entity
Predicate contains P35 FINISHED
Object Daniel, Utah E854664 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: Daniel, Utah | Statement: [Wasatch County, Utah, contains, Daniel, Utah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel, Utah
Context triple: [Wasatch County, Utah, contains, Daniel, Utah]
  • A. Daniel, Utah chosen
    Daniel, Utah is a small town in Wasatch County known for its rural character and scenic setting in the Heber Valley near the Wasatch Mountains.
  • B. Murray, Utah
    Murray, Utah is a suburban city in Salt Lake County known for its central location in the Salt Lake Valley and its role as a commercial and medical hub along the Wasatch Front.
  • C. Roy, Utah
    Roy, Utah is a suburban city in Weber County that forms part of the Ogden–Clearfield metropolitan area along northern Utah’s Wasatch Front.
  • D. Sandy, Utah
    Sandy, Utah is a suburban city south of Salt Lake City known for its sports venues, including Rio Tinto Stadium, and its proximity to the Wasatch Mountains.
  • E. Duchesne, Utah
    Duchesne, Utah is a small city in northeastern Utah that serves as a gateway community to the Uinta Mountains and nearby outdoor recreation areas.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30a6c888190acdd0a645247736a completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3c79bc53481908552af9ebd582edf completed April 18, 2026, 6:04 p.m.
Created at: April 6, 2026, 11:46 a.m.