Triple

T9305779
Position Surface form Disambiguated ID Type / Status
Subject Sweetgrass, Montana E223880 entity
Predicate county P75 FINISHED
Object Toole County E790395 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: Toole County | Statement: [Sweetgrass, Montana, county, Toole County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toole County
Context triple: [Sweetgrass, Montana, county, Toole County]
  • A. Toole County, Montana chosen
    Toole County, Montana is a sparsely populated county in north-central Montana known for its agricultural economy and proximity to the Canadian border.
  • B. Slope County
    Slope County is a sparsely populated county in southwestern North Dakota known for containing White Butte, the state’s highest natural point.
  • C. Bannock County
    Bannock County is a county in southeastern Idaho, United States, known for encompassing the city of Pocatello, a regional economic and educational hub.
  • D. 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.
  • E. Custer County
    Custer County is a rural county in south-central Colorado known for its scenic Wet Mountain Valley, ranching heritage, and outdoor recreation opportunities in the surrounding Wet Mountains and Sangre de Cristo Range.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1da7c1e08190af19169f5d806cde completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c784f24481909af5f0daa1b8333a completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.