Triple

T10269427
Position Surface form Disambiguated ID Type / Status
Subject Premier Silver E240795 entity
Predicate serviceClassImpact P5621 FINISHED
Object enhanced treatment mainly in economy cabin 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: enhanced treatment mainly in economy cabin | Statement: [Premier Silver, serviceClassImpact, enhanced treatment mainly in economy cabin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceClassImpact
Context triple: [Premier Silver, serviceClassImpact, enhanced treatment mainly in economy cabin]
  • A. serviceClass chosen
    Indicates the classification or category of service associated with or provided by an entity in the relationship.
  • B. serviceSystem
    Indicates a relationship where one entity functions as a service system that provides, manages, or supports services for another entity.
  • C. serviceIn
    Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
  • D. serviceUnder
    Indicates that one entity operates, functions, or is provided under the authority, management, or jurisdiction of another entity.
  • E. serviceWith
    Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69d4d1ef6e6c81908a8ee52e4d28127b completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:35 a.m.