Triple

T1998127
Position Surface form Disambiguated ID Type / Status
Subject Interstate 15 E43402 entity
Predicate passesThroughCity P416 FINISHED
Object Great Falls, Montana E117631 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: Great Falls, Montana | Statement: [Interstate 15, passesThroughCity, Great Falls, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Falls, Montana
Context triple: [Interstate 15, passesThroughCity, Great Falls, Montana]
  • A. Great Falls, Montana chosen
    Great Falls, Montana is a mid-sized city in north-central Montana known for its series of waterfalls on the Missouri River and its role as a regional economic and cultural center.
  • B. Butte, Montana
    Butte, Montana is a historic mining city in southwestern Montana known for its rich copper-mining heritage and well-preserved Old West character.
  • C. Gardiner, Montana
    Gardiner, Montana is a small gateway town in southwestern Montana that serves as a primary northern entrance to Yellowstone National Park.
  • D. Havre, Montana
    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.
  • 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 (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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb867c49081909a9ca5fa21bf7aa3 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2705752c81908054e8e0e426e86d completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:37 p.m.