Triple

T18306997
Position Surface form Disambiguated ID Type / Status
Subject Hungry Horse Dam E438510 entity
Predicate nearCity P350 FINISHED
Object Kalispell, 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: Kalispell, Montana | Statement: [Hungry Horse Dam, nearCity, Kalispell, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalispell, Montana
Context triple: [Hungry Horse Dam, nearCity, Kalispell, Montana]
  • A. Kalispell chosen
    Kalispell is a small city in northwestern Montana that serves as a major gateway and service hub for visitors to Glacier National Park and the surrounding Rocky Mountain region.
  • B. Colstrip, Montana
    Colstrip, Montana is a small city in Rosebud County best known as a major coal-mining and coal-fired power generation community in eastern Montana.
  • C. Hamilton, Montana
    Hamilton, Montana is a small city in the Bitterroot Valley that serves as the economic and cultural hub of Ravalli County in western Montana.
  • D. 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.
  • E. Livingston, Montana
    Livingston, Montana is a historic small town in southwestern Montana known for its scenic Yellowstone River setting, Old West charm, and role as a filming location for several notable movies.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.