Triple

T3300566
Position Surface form Disambiguated ID Type / Status
Subject Economy Class E69319 entity
Predicate ticketFlexibilityComparedToPremiumCabins P9549 FINISHED
Object lower LITERAL 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: lower | Statement: [Economy Class, ticketFlexibilityComparedToPremiumCabins, lower]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketFlexibilityComparedToPremiumCabins
Context triple: [Economy Class, ticketFlexibilityComparedToPremiumCabins, lower]
  • A. serviceLevelComparedToEconomy
    Indicates how the level or quality of service compares relative to an economy (baseline) service level.
  • B. hasCabinClass
    Indicates that an entity (such as a booking, ticket, or seat) is associated with a specific cabin class (e.g., economy, business, first).
  • C. fareFlexibility chosen
    Indicates how easily a fare can be changed, canceled, or refunded, and under what conditions or penalties.
  • D. ticketClass
    Indicates the category or level of service assigned to a ticket within a ticketing or reservation system.
  • E. comparedToOtherFares
    Indicates a comparison relationship between one fare and other available fares, typically in terms of price, conditions, or benefits.
  • F. None of above.

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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a66fcc819093931fe7a6507723 completed March 8, 2026, 5:23 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.