Triple

T10905697
Position Surface form Disambiguated ID Type / Status
Subject Montana State University Billings E257562 entity
Predicate city P40 FINISHED
Object Billings E45126 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: Billings | Statement: [Montana State University Billings, city, Billings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billings
Context triple: [Montana State University Billings, city, Billings]
  • A. Billings
    Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
  • B. Billings chosen
    Billings is the largest city in the U.S. state of Montana and a major economic and cultural hub for the surrounding Mountain States region.
  • C. Billings
    Billings is the middle name of Henry Billings Brown, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the late 19th and early 20th centuries.
  • D. Bozeman
    Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770656c288190828e71600bb0acd4 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e373f38cfc8190977d1a59c31dac5f completed April 18, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:22 p.m.