Triple

T22062927
Position Surface form Disambiguated ID Type / Status
Subject Hi-Line Subdivision E545196 entity
Predicate connects P390 FINISHED
Object Havre, 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: Havre, Montana | Statement: [Hi-Line Subdivision, connects, Havre, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havre, Montana
Context triple: [Hi-Line Subdivision, connects, Havre, Montana]
  • A. Havre, Montana chosen
    Havre, Montana is a small northern Montana city near the Canadian border that serves as a regional commercial and transportation hub on the Hi-Line.
  • B. Helena, Montana
    Helena, Montana is the capital city of the U.S. state of Montana, known for its historic gold rush origins and proximity to outdoor recreation in the surrounding Rocky Mountains.
  • C. 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.
  • D. 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.
  • E. Missoula
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285e8c688190b701e417893cc148 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.