Triple

T1305649
Position Surface form Disambiguated ID Type / Status
Subject RYAAY E27869 entity
Predicate hasUnderlyingCompanyIATAAirlineCode P12360 FINISHED
Object FR E27865 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: FR | Statement: [RYAAY, hasUnderlyingCompanyIATAAirlineCode, FR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FR
Context triple: [RYAAY, hasUnderlyingCompanyIATAAirlineCode, FR]
  • A. FR chosen
    FR is the IATA airline designator used to identify Ryanair flights.
  • B. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • C. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • D. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • E. France
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • 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: hasUnderlyingCompanyIATAAirlineCode
Context triple: [RYAAY, hasUnderlyingCompanyIATAAirlineCode, FR]
  • A. hasUnderlyingAirlineCallsign
    Indicates that an airline-related entity is associated with a specific underlying airline callsign used for identification in air traffic communications.
  • B. associatedWithIATAAirlineCode chosen
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • C. underlyingCompanyName
    Indicates the name of the company that serves as the foundational or primary entity underlying another entity, structure, or instrument.
  • D. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • E. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • 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_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae9c8a88190bf9de136a41c82a4 completed March 7, 2026, 11:55 p.m.
PD Predicate disambiguation batch_69a4bee9e4a88190b22ab2ee831a23c9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.