Triple

T8835308
Position Surface form Disambiguated ID Type / Status
Subject Bountiful E210252 entity
Predicate countrySubdivision P766 FINISHED
Object Davis County E321395 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: Davis County | Statement: [Bountiful, countrySubdivision, Davis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis County
Context triple: [Bountiful, countrySubdivision, Davis County]
  • A. Davis County chosen
    Davis County is a populous county in northern Utah, situated between the Great Salt Lake and the Wasatch Range and forming part of the greater Salt Lake City metropolitan area.
  • B. Morgan County
    Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • C. Morgan County
    Morgan County is a rural county in northern Utah known for its mountainous terrain, outdoor recreation, and small-town communities northeast of Salt Lake City.
  • D. Morgan County
    Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • E. Morgan County
    Morgan County is a county in central Indiana, United States, that forms part of the greater Indianapolis metropolitan region.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60686cac8190b3138db40b6fe058 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05be377988190a59f0033322d627f completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 6:47 p.m.