Triple

T15462141
Position Surface form Disambiguated ID Type / Status
Subject Green River, Wyoming E371927 entity
Predicate county P75 FINISHED
Object Sweetwater County E238540 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: Sweetwater County | Statement: [Green River, Wyoming, county, Sweetwater County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweetwater County
Context triple: [Green River, Wyoming, county, Sweetwater County]
  • A. Sweetwater County chosen
    Sweetwater County is a vast, sparsely populated county in southwestern Wyoming known for its high desert landscapes, energy resources, and outdoor recreation.
  • B. Park County
    Park County is a county in northwestern Wyoming known for encompassing portions of Yellowstone National Park and its surrounding mountainous landscapes.
  • C. Park County
    Park County is a rural county in southwestern Montana known for its proximity to Yellowstone National Park and its scenic mountain landscapes.
  • D. Chaffee County
    Chaffee County is a mountainous county in central Colorado known for its Arkansas River valley, outdoor recreation, and historic mining towns like Buena Vista and Salida.
  • E. Custer County
    Custer County is a county in southwestern South Dakota known for its Black Hills scenery, outdoor recreation, and attractions such as Custer State Park and the Crazy Horse Memorial.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cff942081908a2f5351079666a3 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:32 a.m.