Triple

T10413447
Position Surface form Disambiguated ID Type / Status
Subject EuroBonus E245453 entity
Predicate pointsCurrency P4256 FINISHED
Object EuroBonus points E245453 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: EuroBonus points | Statement: [EuroBonus, pointsCurrency, EuroBonus points]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroBonus points
Context triple: [EuroBonus, pointsCurrency, EuroBonus points]
  • A. EuroBonus chosen
    EuroBonus is the loyalty program of Scandinavian Airlines (SAS), offering members points, status levels, and travel-related rewards across flights and partner services.
  • B. topbonus
    topbonus was the frequent flyer loyalty program of the former German airline Air Berlin, offering passengers mileage accrual and redemption benefits.
  • C. Virgin Points
    Virgin Points are the loyalty currency used across Virgin’s rewards programs, redeemable for flights, upgrades, and other member benefits.
  • D. 6E Rewards
    6E Rewards is IndiGo airline’s customer loyalty program that lets frequent flyers earn and redeem points for flights and related travel benefits.
  • E. PlusPoints upgrade currency
    PlusPoints upgrade currency is United Airlines’ flexible upgrade system that allows eligible frequent flyers to use earned points to move to premium cabins on United-operated flights.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9b86648190b83eb5261c9a7b97 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:10 p.m.