Triple

T7774441
Position Surface form Disambiguated ID Type / Status
Subject Azara E179156 entity
Predicate hasTransportInfrastructureType P56025 FINISHED
Object airport 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: airport | Statement: [Azara, hasTransportInfrastructureType, airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransportInfrastructureType
Context triple: [Azara, hasTransportInfrastructureType, airport]
  • A. hasMajorTransportInfrastructure
    Indicates that a location possesses significant transportation facilities or networks, such as major roads, railways, ports, or airports, that support substantial movement of people or goods.
  • B. typeOfTransportInfrastructure chosen
    Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
  • C. hasPublicTransitInfrastructure
    Indicates that a location or area is equipped with facilities and systems that support public transportation services (e.g., buses, trains, trams).
  • D. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • E. hasRailwayInfrastructureType
    Indicates that an entity possesses or is associated with a specific type or category of railway infrastructure.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046331e0819080ec1a5c23c27cd7 completed March 27, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69c7016f4ce881909c2e9f610255187b completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:11 p.m.