Triple

T1305483
Position Surface form Disambiguated ID Type / Status
Subject FR E27865 entity
Predicate associatedAirlineCallsign P13478 FINISHED
Object RYANAIR E4144 NE FINISHED

How this triple was built (3 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: RYANAIR | Statement: [FR, associatedAirlineCallsign, RYANAIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RYANAIR
Context triple: [FR, associatedAirlineCallsign, RYANAIR]
  • A. Ryanair chosen
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • B. Ryan Airlines
    Ryan Airlines was an American aircraft manufacturer and airline best known for building Charles Lindbergh’s Spirit of St. Louis monoplane.
  • C. Wizz Air
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • D. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • E. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedAirlineCallsign
Context triple: [FR, associatedAirlineCallsign, RYANAIR]
  • A. hasUnderlyingAirlineCallsign chosen
    Indicates that an airline-related entity is associated with a specific underlying airline callsign used for identification in air traffic communications.
  • B. associatedAirlineHeadquarters
    Indicates that an airline is connected to or based at a particular headquarters location.
  • C. aircraftOperator
    Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
  • D. nationalAirline
    Indicates that an airline serves as the official or primary flag carrier of a particular country.
  • E. servesAirline
    Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
  • F. None of above.

Provenance (4 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c13524d481909e8f5bb2ab91f6e4 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad014bec148190b0809f0a1c0b6285 completed March 8, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69a4bee8544c8190874efd9bae9bccf9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.