Triple

T20668319
Position Surface form Disambiguated ID Type / Status
Subject Beaverhead County E507950 entity
Predicate largestCity P235 FINISHED
Object Dillon, Montana 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: Dillon, Montana | Statement: [Beaverhead County, largestCity, Dillon, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dillon, Montana
Context triple: [Beaverhead County, largestCity, Dillon, Montana]
  • A. Dillon, Montana chosen
    Dillon, Montana is a small southwestern Montana city known as a regional hub for ranching, outdoor recreation, and home to the University of Montana Western.
  • B. Dixon, Montana
    Dixon, Montana is a small rural community in western Montana known for its agricultural setting and location along the Flathead River.
  • C. Lovell, Montana
    Lovell, Montana is a small town in northern Wyoming’s Bighorn Basin known as a gateway to nearby natural attractions such as Bighorn Canyon National Recreation Area.
  • D. Lolo, Montana
    Lolo, Montana is a small unincorporated community in western Montana known as a gateway to outdoor recreation and its proximity to historic Lewis and Clark Expedition routes.
  • E. Libby, Montana
    Libby, Montana is a small northwestern Montana town known for its scenic setting near the Kootenai National Forest and its history of logging and mining.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.