Triple

T11015649
Position Surface form Disambiguated ID Type / Status
Subject Rocky Mountain College E260357 entity
Predicate locatedIn P40 FINISHED
Object Billings, Montana 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, Montana | Statement: [Rocky Mountain College, locatedIn, Billings, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billings, Montana
Context triple: [Rocky Mountain College, locatedIn, Billings, Montana]
  • A. 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.
  • B. Billings
    Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
  • 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. Miles City, Montana
    Miles City, Montana is a small historic city in southeastern Montana known as a regional ranching and agricultural center near the confluence of the Tongue and Yellowstone Rivers.
  • 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 (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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a558a08190bdb5779faa9adf05 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4419a91b08190a55c7f874a3df0fe completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:25 p.m.