Triple

T2989640
Position Surface form Disambiguated ID Type / Status
Subject Dividend Miles E80714 entity
Predicate discontinuedBy P101 FINISHED
Object US Airways E11262 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: US Airways | Statement: [Dividend Miles, discontinuedBy, US Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US Airways
Context triple: [Dividend Miles, discontinuedBy, US Airways]
  • A. US Airways chosen
    US Airways was a major American airline that operated domestic and international flights before ultimately combining with American Airlines to form one of the world’s largest carriers.
  • B. US Airways Express
    US Airways Express was the regional brand under which several contracted airlines operated short-haul feeder flights for US Airways in the United States.
  • C. American Airlines
    American Airlines is a major U.S.-based airline and one of the world's largest carriers, operating extensive domestic and international routes.
  • D. United Airlines
    United Airlines is a major American airline and Star Alliance member known for its extensive domestic and international route network operated from multiple hubs across the United States.
  • E. Southwest Airlines
    Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99dcdb00819092ca5f10396408e0 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67b92d4dc81908a26a977bc25319c completed March 15, 2026, 9:27 a.m.
Created at: March 8, 2026, 2:59 p.m.