Triple

T7183783
Position Surface form Disambiguated ID Type / Status
Subject Vietnam Airlines Lotusmiles Platinum E167517 entity
Predicate loyaltyProgramName P37953 FINISHED
Object Lotusmiles E174884 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: Lotusmiles | Statement: [Vietnam Airlines Lotusmiles Platinum, loyaltyProgramName, Lotusmiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotusmiles
Context triple: [Vietnam Airlines Lotusmiles Platinum, loyaltyProgramName, Lotusmiles]
  • A. Lotusmiles chosen
    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.
  • B. Qmiles
    Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
  • C. LifeMiles
    LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
  • D. Mileage Plan
    Mileage Plan is Alaska Airlines’ loyalty program that rewards members with miles for flights and partner activities, redeemable for travel and other benefits.
  • E. ConnectMiles
    ConnectMiles is the frequent-flyer loyalty program of Copa Airlines, allowing members to earn and redeem miles for flights and travel-related benefits.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94b058481909da9d5b21a5201de completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.