Triple

T20728393
Position Surface form Disambiguated ID Type / Status
Subject Bozeman E509500 entity
Predicate county P75 FINISHED
Object Gallatin 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: Gallatin County | Statement: [Bozeman, county, Gallatin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallatin County
Context triple: [Bozeman, county, Gallatin County]
  • A. Gallatin County, Montana chosen
    Gallatin County, Montana is a county in southwestern Montana known for its rapidly growing population, outdoor recreation opportunities, and the city of Bozeman as its largest urban center.
  • B. Natrona County
    Natrona County is a county in central Wyoming known for its energy industry, outdoor recreation, and its county seat, Casper.
  • 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. Teton County
    Teton County is a rural county in western Montana known for its agricultural landscape, small communities, and proximity to the Rocky Mountain Front.
  • E. Flathead County
    Flathead County is a largely rural county in northwestern Montana known for its scenic landscapes, including parts of Glacier National Park and Flathead Lake, and for tourism, outdoor recreation, and agriculture.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e9ed708190ad8e371646630fea completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.