Triple

T15573869
Position Surface form Disambiguated ID Type / Status
Subject Billings Division E374316 entity
Predicate hasSeat P3522 FINISHED
Object Billings, Montana E1089829 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: [Billings Division, hasSeat, Billings, Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billings, Montana
Context triple: [Billings Division, hasSeat, Billings, Montana]
  • A. Billings
    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. Billings, Montana, United States chosen
    Billings is the largest city in the U.S. state of Montana, serving as a regional economic, medical, and cultural hub for the surrounding area.
  • E. 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.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67830b4c8190a8c3f2168d8c2ec7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:10 a.m.