Triple

T2218941
Position Surface form Disambiguated ID Type / Status
Subject Ryan NYP E48095 entity
Predicate manufacturer P490 FINISHED
Object Ryan Airlines E25368 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: Ryan Airlines | Statement: [Ryan NYP, manufacturer, Ryan Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Airlines
Context triple: [Ryan NYP, manufacturer, Ryan Airlines]
  • A. Ryan Airlines chosen
    Ryan Airlines was an American aircraft manufacturer and airline best known for building Charles Lindbergh’s Spirit of St. Louis monoplane.
  • B. 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.
  • C. Silver Airways
    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.
  • D. JetBlue Airways
    JetBlue Airways is a major American low-cost airline known for its customer-friendly service, free in-flight entertainment, and extensive route network across the United States, Caribbean, and Latin America.
  • E. Breeze Airways
    Breeze Airways is a U.S.-based low-cost airline founded by aviation entrepreneur David Neeleman, focusing on affordable, nonstop flights between underserved city pairs.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2031a55148190a1b96af35d109259 completed March 12, 2026, 12:04 a.m.
Created at: March 4, 2026, 7:46 p.m.