Triple

T13475537
Position Surface form Disambiguated ID Type / Status
Subject 9M-MRO E318239 entity
Predicate operatingAirlineFlagCarrierStatus P98611 FINISHED
Object flag carrier of Malaysia 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: flag carrier of Malaysia | Statement: [9M-MRO, operatingAirlineFlagCarrierStatus, flag carrier of Malaysia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatingAirlineFlagCarrierStatus
Context triple: [9M-MRO, operatingAirlineFlagCarrierStatus, flag carrier of Malaysia]
  • A. operatingAirlineCallsign
    Indicates the radio callsign used by the airline that is actually operating the flight.
  • B. airlineNationalityOfAirline chosen
    Indicates the country or nationality with which an airline is associated.
  • C. airlineOperator
    Indicates that one entity operates or manages airline services for another entity or in a specified context.
  • D. isFlagCarrierCodeOf
    Indicates that a given airline code serves as the official flag carrier designation for a particular country or territory.
  • E. airlineType
    Indicates the classification or category of an airline based on its operational or service characteristics.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:42 p.m.