Triple

T1543579
Position Surface form Disambiguated ID Type / Status
Subject LUV E32924 entity
Predicate associatedWithFrequentFlyerProgram P13481 FINISHED
Object Rapid Rewards E32923 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: Rapid Rewards | Statement: [LUV, associatedWithFrequentFlyerProgram, Rapid Rewards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rapid Rewards
Context triple: [LUV, associatedWithFrequentFlyerProgram, Rapid Rewards]
  • A. Rapid Rewards chosen
    Rapid Rewards is Southwest Airlines’ frequent flyer loyalty program that lets members earn points on flights and redeem them for travel and other rewards.
  • B. MileagePlus
    MileagePlus is United Airlines’ loyalty program that rewards members with miles and elite benefits for flying and partner activity.
  • C. Caesars Rewards
    Caesars Rewards is a customer loyalty program offering tiered benefits, comps, and exclusive perks to patrons of Caesars Entertainment casinos, hotels, and resorts.
  • 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. myRewards
    myRewards is the customer loyalty program of Pilot Flying J truck stops and travel centers, offering members points, discounts, and other perks on fuel, food, and in-store purchases.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9084140f0819098c81d295d08d480 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51ab8e208190b4bcf03e9a661070 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:26 p.m.