Triple

T4952477
Position Surface form Disambiguated ID Type / Status
Subject Northern Utah E111199 entity
Predicate containsCounty P5971 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: [Northern Utah, containsCounty, Davis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis County
Context triple: [Northern Utah, containsCounty, 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 rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • C. 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.
  • D. 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.
  • E. Cedar County
    Cedar County is a county in eastern Iowa known for its agricultural landscape and small rural communities, including the town of Clarence.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b6a5d481909ad6f5e0b752496c completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe46b4d081908597c79135415909 completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:31 p.m.