Triple

T8456970
Position Surface form Disambiguated ID Type / Status
Subject London–Paris E199941 entity
Predicate typicalClassConfiguration P28573 FINISHED
Object Business Premier E253286 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: Business Premier | Statement: [London–Paris, typicalClassConfiguration, Business Premier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Business Premier
Context triple: [London–Paris, typicalClassConfiguration, Business Premier]
  • A. Business Premier chosen
    Business Premier is Air New Zealand’s flagship long-haul business class product, offering lie-flat seats, premium dining, and enhanced comfort and service for international travelers.
  • B. Business Plus
    Business Plus is a publishing imprint focused on business, management, and personal finance titles.
  • C. Business Class
    Business Class is a premium airline cabin that provides enhanced comfort, service, and amenities compared to economy class.
  • D. Enterprise Business
    Enterprise Business is Huawei's division focused on providing ICT infrastructure and digital transformation solutions to enterprise and government customers worldwide.
  • E. Business Select
    Business Select is Southwest Airlines’ highest fare class, offering priority boarding, extra Rapid Rewards points, and additional perks for business and premium travelers.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4576d48c8190a3e94d8ab3001b65 completed March 31, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1de232508190803fd2dad21e677f completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.