Triple

T32975597
Position Surface form Disambiguated ID Type / Status
Subject XY E843650 entity
Predicate operatorAirlineSecondaryHubAirport P94001 FINISHED
Object King Abdulaziz International Airport NE NERFINISHED

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: King Abdulaziz International Airport | Statement: [XY, operatorAirlineSecondaryHubAirport, King Abdulaziz International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatorAirlineSecondaryHubAirport
Context triple: [XY, operatorAirlineSecondaryHubAirport, King Abdulaziz International Airport]
  • A. operatorSecondaryHubAirportIATA
    Indicates the IATA airport code of a secondary hub airport used by the operator.
  • B. secondaryHubOfAirline chosen
    Indicates that an airport serves as a secondary operational hub for a particular airline, supporting but not replacing its primary hub activities.
  • C. associatedAirportPrimaryHubFor
    Indicates that an airport serves as the primary hub for a particular airline or transportation operator.
  • D. airlineHub
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • E. hasSecondaryAirport
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a00532815c881908f10d9594458b3d7 completed May 10, 2026, 9:43 a.m.
PD Predicate disambiguation batch_6a0052b9f030819081b8105bdcaf6d8f completed May 10, 2026, 9:41 a.m.
Created at: May 1, 2026, 1:22 a.m.