Triple

T760843
Position Surface form Disambiguated ID Type / Status
Subject Delta Connection E16064 entity
Predicate hasFrequentFlyerProgram P13481 FINISHED
Object SkyMiles 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 | Statement: [Delta Connection, hasFrequentFlyerProgram, SkyMiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyMiles
Context triple: [Delta Connection, hasFrequentFlyerProgram, SkyMiles]
  • 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. 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.
  • C. MileagePlus
    MileagePlus is United Airlines’ loyalty program that rewards members with miles and elite benefits for flying and partner activity.
  • D. Rapid Rewards
    Rapid Rewards is Southwest Airlines’ frequent flyer loyalty program that lets members earn points on flights and redeem them for travel and other rewards.
  • E. Asia Miles
    Asia Miles is a travel and lifestyle rewards program that lets members earn and redeem miles across flights, hotels, dining, and other partner services worldwide.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a682e7d081909c9cd7839a49fb0b completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e44b9c88190a4481c28499860d7 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.