Triple

T33653500
Position Surface form Disambiguated ID Type / Status
Subject Ethiopian ShebaMiles Silver E862159 entity
Predicate bookingBenefit P2188 FINISHED
Object priority on reservation waitlists 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: priority on reservation waitlists | Statement: [Ethiopian ShebaMiles Silver, bookingBenefit, priority on reservation waitlists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bookingBenefit
Context triple: [Ethiopian ShebaMiles Silver, bookingBenefit, priority on reservation waitlists]
  • A. travelBenefit
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of traveling or engaging in travel-related activities with or because of another entity.
  • B. airportBenefit
    Indicates that one entity gains an advantage, profit, or positive impact from the existence, operation, or services of an airport.
  • C. exclusiveBenefit
    Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
  • D. hasBenefit chosen
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • E. benefitEvent
    Indicates that an event is organized primarily to provide a benefit, such as raising funds or support, for a particular cause, group, or individual.
  • 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_69f349840ba881908e3bfce536aeb92b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:42 a.m.