Triple

T10524226
Position Surface form Disambiguated ID Type / Status
Subject Asiana Club Diamond Plus E248255 entity
Predicate loyaltyProgram P178 FINISHED
Object Asiana Club E273262 NE 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: Asiana Club | Statement: [Asiana Club Diamond Plus, loyaltyProgram, Asiana Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asiana Club
Context triple: [Asiana Club Diamond Plus, loyaltyProgram, Asiana Club]
  • A. Asiana Club chosen
    Asiana Club is the loyalty program of Asiana Airlines that rewards members with mileage points and tier benefits for flying and partner activities.
  • B. Kōyū Club
    Kōyū Club was a prewar Japanese political party that served as an early moderate force in the Imperial Diet before being absorbed into larger liberal groupings.
  • C. Bamboo Club
    Bamboo Club is the frequent-flyer loyalty program of Bamboo Airways, offering members rewards, benefits, and mileage accrual for their travel.
  • D. Kaiapoi Club
    Kaiapoi Club is a local social and community club in Kaiapoi, New Zealand, offering hospitality, entertainment, and recreational facilities to its members and guests.
  • E. Asiana Town
    Asiana Town is the main corporate headquarters complex of South Korea’s Asiana Airlines in Seoul.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4020c8190b78c49da086df757 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e1c73208190aa3d3e30aa4482ac completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.