Triple

T19425411
Position Surface form Disambiguated ID Type / Status
Subject MVP Gold E485967 entity
Predicate airlineProgram P13481 FINISHED
Object Mileage Plan NE NERFINISHED

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: Mileage Plan | Statement: [MVP Gold, airlineProgram, Mileage Plan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mileage Plan
Context triple: [MVP Gold, airlineProgram, Mileage Plan]
  • A. Mileage Plan chosen
    Mileage Plan is Alaska Airlines’ loyalty program that rewards members with miles for flights and partner activities, redeemable for travel and other benefits.
  • B. MileagePlus
    MileagePlus is United Airlines’ loyalty program that rewards members with miles and elite benefits for flying and partner activity.
  • C. LOT Miles & More Frequent Traveller
    LOT Miles & More Frequent Traveller is an entry-level elite status tier in the Miles & More loyalty program that offers travelers basic premium benefits such as priority services and extra allowances.
  • D. Lotusmiles
    Lotusmiles is the frequent-flyer loyalty program of Vietnam Airlines, offering members mileage accrual and tiered benefits for their travel with the carrier and its partners.
  • E. LifeMiles
    LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63218772c8190a48b6cb01bd12b73 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.