Triple

T14743948
Position Surface form Disambiguated ID Type / Status
Subject Y class E346417 entity
Predicate canBeRebookedTo P61458 FINISHED
Object other economy fare classes subject to airline rules 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: other economy fare classes subject to airline rules | Statement: [Y class, canBeRebookedTo, other economy fare classes subject to airline rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeRebookedTo
Context triple: [Y class, canBeRebookedTo, other economy fare classes subject to airline rules]
  • A. alsoBookableAs chosen
    Indicates that one entity can be reserved or booked in an alternative way or under an alternative option represented by another entity.
  • B. canBeModifiedBetween
    Indicates that something is allowed or able to be changed during a specified interval or between defined points or states.
  • C. allowsReservation
    Indicates that one entity permits another entity to make or hold a reservation for its use or access.
  • D. thirdPartySeatChange
    Indicates that a passenger’s seat assignment is changed by someone other than the passenger or the operating carrier (i.e., by a third party).
  • E. canBeReassignedBy
    Indicates that one entity has the authority or ability to change or transfer another entity’s assignment or allocation.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.