Triple

T6893935
Position Surface form Disambiguated ID Type / Status
Subject SKYPASS E159121 entity
Predicate loyaltyCurrency P9554 FINISHED
Object SKYPASS miles E265120 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: SKYPASS miles | Statement: [SKYPASS, loyaltyCurrency, SKYPASS miles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKYPASS miles
Context triple: [SKYPASS, loyaltyCurrency, SKYPASS miles]
  • A. SkyMiles
    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 chosen
    PhoenixMiles is the loyalty and rewards program that allows Shenzhen Airlines passengers to earn and redeem miles for flights and related travel benefits.
  • C. Air Miles (in the UK market)
    Air Miles was a popular UK travel rewards loyalty scheme that allowed members to collect points from everyday spending and redeem them for flights and other travel-related benefits.
  • D. Avios
    Avios is a travel rewards currency used by several major airlines and loyalty programs, allowing members to earn and redeem points for flights and related travel benefits.
  • E. MileagePlus
    MileagePlus is United Airlines’ loyalty program that rewards members with miles and elite benefits for flying and partner activity.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d931da24819096b9b205f2c0ebb0 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748db2bd48190bb26f60c58ec8229 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:24 p.m.