Triple

T4421660
Position Surface form Disambiguated ID Type / Status
Subject TO E95110 entity
Predicate airlineServiceClass P50616 FINISHED
Object economy class 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: economy class | Statement: [TO, airlineServiceClass, economy class]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airlineServiceClass
Context triple: [TO, airlineServiceClass, economy class]
  • A. seatClass chosen
    Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
  • B. airlineCategory
    Indicates the classification or type of an airline within a defined categorization system (e.g., full-service, low-cost, regional).
  • C. airlineType
    Indicates the classification or category of an airline based on its operational or service characteristics.
  • D. servesAirlineType
    Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
  • E. ticketClass
    Indicates the category or level of service assigned to a ticket within a ticketing or reservation system.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554a0e7c8190b704d00d07b1857d completed March 13, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.