Triple

T32975599
Position Surface form Disambiguated ID Type / Status
Subject XY E843650 entity
Predicate operatorAirlineFocusCityAirport P4364 FINISHED
Object King Fahd 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 Fahd International Airport | Statement: [XY, operatorAirlineFocusCityAirport, King Fahd International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatorAirlineFocusCityAirport
Context triple: [XY, operatorAirlineFocusCityAirport, King Fahd International Airport]
  • A. airlineService
    Indicates that an airline operates transportation services (such as flights) between specified locations or for specified routes.
  • B. airlineHub chosen
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • C. airlineContext
    Indicates a relationship, situation, or action that specifically occurs within or is constrained by an airline-related context (such as flights, carriers, or air travel operations).
  • D. airTransportServedBy
    Indicates that a particular air transport service (such as a route, flight, or airport operation) is provided or operated by a specified carrier or service provider.
  • E. servesAirlinesFrom
    Indicates that a location or facility provides service or operations for flights belonging to specific airlines originating from that place.
  • 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_6a0058c341ac8190825067dc25158839 completed May 10, 2026, 10:06 a.m.
PD Predicate disambiguation batch_6a005857249c81908b27587b84d84dbb completed May 10, 2026, 10:05 a.m.
Created at: May 1, 2026, 1:22 a.m.