Triple

T1873882
Position Surface form Disambiguated ID Type / Status
Subject Wasatch Front E39094 entity
Predicate hasCounty P285 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: [Wasatch Front, hasCounty, Davis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis County
Context triple: [Wasatch Front, hasCounty, 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. Cedar County
    Cedar County is a county in eastern Iowa known for its agricultural landscape and small rural communities, including the town of Clarence.
  • E. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d648ec8190a21445ddca6f9aa6 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69b333ef7f30819086b538cdc2cefe0f completed March 12, 2026, 9:45 p.m.
Created at: March 4, 2026, 7:34 p.m.