Triple

T4040432
Position Surface form Disambiguated ID Type / Status
Subject Saab 340 E83931 entity
Predicate notableOperator P179 FINISHED
Object Silver Airways E217566 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: Silver Airways | Statement: [Saab 340, notableOperator, Silver Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Airways
Context triple: [Saab 340, notableOperator, Silver Airways]
  • A. Silver Airways chosen
    Silver Airways is a U.S. regional airline that primarily operates short-haul flights within Florida and the southeastern United States, as well as to nearby Caribbean destinations.
  • B. Eastern Airways
    Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
  • C. Spirit Airlines
    Spirit Airlines is an American ultra-low-cost carrier known for its no-frills service model and extensive network of domestic and Latin American routes.
  • D. Cape Air
    Cape Air is a U.S.-based regional airline known for operating short-haul commuter flights, primarily in the Northeast, Midwest, Montana, the Caribbean, and Micronesia.
  • E. Airlink
    Airlink is a South African regional airline that operates scheduled passenger services connecting smaller cities and remote destinations with major hubs in Southern Africa.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb39400881909d0f5430f04e441c completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6f3796c8190bac5529032419ecc completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:37 p.m.