Triple

T8141595
Position Surface form Disambiguated ID Type / Status
Subject Delta mobile app E190109 entity
Predicate feature P374 FINISHED
Object SkyMiles mileage tracking E36412 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: SkyMiles mileage tracking | Statement: [Delta mobile app, feature, SkyMiles mileage tracking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyMiles mileage tracking
Context triple: [Delta mobile app, feature, SkyMiles mileage tracking]
  • A. SkyMiles chosen
    SkyMiles is Delta Air Lines’ frequent flyer loyalty program that lets members earn and redeem miles for flights, upgrades, and other travel rewards.
  • B. PhoenixMiles
    PhoenixMiles is the loyalty and rewards program that allows Shenzhen Airlines passengers to earn and redeem miles for flights and related travel benefits.
  • C. MileagePlus
    MileagePlus is United Airlines’ loyalty program that rewards members with miles and elite benefits for flying and partner activity.
  • D. LifeMiles
    LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
  • E. HawaiianMiles
    HawaiianMiles is the frequent-flyer loyalty program of Hawaiian Airlines, allowing members to earn and redeem miles for flights, upgrades, and other travel rewards.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4442299881909db56f7475cbb99a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94a9ecd08190a029a8d76d9f3bb1 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:36 p.m.