Triple

T19213163
Position Surface form Disambiguated ID Type / Status
Subject San Pitch River E480406 entity
Predicate region P40 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: [San Pitch River, region, Juab County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juab County
Context triple: [San Pitch River, region, 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa38c0e881908e9501ee21d0f266 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:21 p.m.