Triple

T4223074
Position Surface form Disambiguated ID Type / Status
Subject VIR E94387 entity
Predicate airlineTypeIdentified P15154 FINISHED
Object scheduled passenger airline LITERAL 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: scheduled passenger airline | Statement: [VIR, airlineTypeIdentified, scheduled passenger airline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airlineTypeIdentified
Context triple: [VIR, airlineTypeIdentified, scheduled passenger airline]
  • A. airlineType chosen
    Indicates the classification or category of an airline based on its operational or service characteristics.
  • B. servesAirlineType
    Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
  • C. airlineCategory
    Indicates the classification or type of an airline within a defined categorization system (e.g., full-service, low-cost, regional).
  • D. airlineBrand
    Indicates that one entity functions as the commercial airline brand associated with, or operating under, another entity.
  • E. iataAircraftTypeCode
    Indicates the standardized IATA code that specifies the aircraft type used in a flight or aviation context.
  • F. None of above.

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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69b347f1d7b48190bd8974c03c7dc937 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:04 p.m.