Triple

T32359848
Position Surface form Disambiguated ID Type / Status
Subject Gizan Airport E826828 entity
Predicate belongsToAviationSystem P11953 FINISHED
Object Saudi Arabian domestic airport network 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: Saudi Arabian domestic airport network | Statement: [Gizan Airport, belongsToAviationSystem, Saudi Arabian domestic airport network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToAviationSystem
Context triple: [Gizan Airport, belongsToAviationSystem, Saudi Arabian domestic airport network]
  • A. isPartOfAviationSystem
    Indicates that something functions as a component or subsystem within a broader aviation system or infrastructure.
  • B. isAviationElementFor
    Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
  • C. isAviationElementOf
    Indicates that something functions as a component or constituent part within a broader aviation-related system, structure, or context.
  • D. belongsToAviationMarket
    Indicates that something is part of, or associated with, the aviation industry market segment.
  • E. belongsToAirportSystem chosen
    Indicates that an airport is a member or component of a specific airport system or network.
  • 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_69f34915a2588190bb3178f5ec2f48f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fecb4d02f881909a9ee97ce98000d5 completed May 9, 2026, 5:51 a.m.
PD Predicate disambiguation batch_69fec9846c1c8190b317f0711f0755db completed May 9, 2026, 5:43 a.m.
Created at: May 1, 2026, 12:49 a.m.