Triple

T6670537
Position Surface form Disambiguated ID Type / Status
Subject Billings Logan International Airport E151715 entity
Predicate operator P179 FINISHED
Object City of 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: City of Billings | Statement: [Billings Logan International Airport, operator, City of Billings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Billings
Context triple: [Billings Logan International Airport, operator, City of Billings]
  • 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. Missoula
    Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
  • E. Grant City
    Grant City is a residential neighborhood on Staten Island, New York City, known for its suburban character and convenient access to Manhattan via the Staten Island Railway.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c9163c8190ad959172a8458619 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70aeef0d881909da055735646dbaf completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:03 p.m.