Triple

T21465127
Position Surface form Disambiguated ID Type / Status
Subject Western Utah E529574 entity
Predicate contains P35 FINISHED
Object Juab County NE NERFINISHED

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: Juab County | Statement: [Western Utah, contains, Juab County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juab County
Context triple: [Western Utah, contains, Juab County]
  • A. Quay County
    Quay County is a rural county in eastern New Mexico known for its ranching, agriculture, and the city of Tucumcari along historic Route 66.
  • B. Mineral County
    Mineral County is a sparsely populated, heavily forested county in western Montana known for its mountainous terrain, outdoor recreation, and proximity to the Idaho border.
  • C. Mineral County
    Mineral County is a rural county in western Nevada known for its mining history, desert landscapes, and the Hawthorne Army Depot.
  • D. Juab County, Utah chosen
    Juab County, Utah is a largely rural county in western Utah known for its desert landscapes, mining history, and location along the Utah–Nevada border.
  • E. Culberson County
    Culberson County is a sparsely populated county in far western Texas known for its desert landscapes and the Guadalupe Mountains, including the highest peak in the state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f1b3cc819092c200f09c6f461e completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.