Triple

T10413862
Position Surface form Disambiguated ID Type / Status
Subject SAS EuroBonus Gold E245463 entity
Predicate eligiblePassengerType P15253 FINISHED
Object individual traveler 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: individual traveler | Statement: [SAS EuroBonus Gold, eligiblePassengerType, individual traveler]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligiblePassengerType
Context triple: [SAS EuroBonus Gold, eligiblePassengerType, individual traveler]
  • A. hasPassengerRole chosen
    Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
  • B. passengerAccess
    Indicates that a passenger is allowed to enter, use, or move through a particular vehicle, area, or transportation-related facility.
  • C. hasBoardingType
    Indicates the specific manner or method by which an entity is boarded or accessed (e.g., how passengers or items are taken on).
  • D. isPassengerOnly
    Indicates that the subject entity is restricted to passenger use only and does not accommodate cargo, freight, or mixed-use purposes.
  • E. hasPassengerCheckInAccess
    Indicates that an entity is permitted to perform or access passenger check-in functions for a given transport service or location.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69d4dfb6f160819090040644a12395ec completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:10 p.m.