Triple

T21196540
Position Surface form Disambiguated ID Type / Status
Subject TRAX light rail E522340 entity
Predicate servesCounty P82 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: [TRAX light rail, servesCounty, Davis County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis County
Context triple: [TRAX light rail, servesCounty, 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. Dixon County
    Dixon County is a county-level administrative region in the U.S. state of Nebraska.
  • C. 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.
  • D. Morgan County
    Morgan County is a county-level administrative region in the U.S. state of Illinois, known for its county seat of Jacksonville.
  • E. 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.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333bd7a0819084bbd1d6c111bc65 completed April 21, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e8103c288190a6818521971b4d1c completed May 17, 2026, 4:08 p.m.
Created at: April 16, 2026, 3:08 p.m.